Claude Patent Creator

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USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, d

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1# Claude Patent Creator

README.mdMCP server

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RepositoryPublisher installStep-by-step: add this in Claude

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License: MIT
Last checked: 2026-11-12

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Overview

About Claude Patent Creator

USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Claude Patent Creator?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Claude Patent Creator need an API key?

No required environment variable is listed on this record.

What transport does Claude Patent Creator use?

Claude Patent Creator runs locally over stdio.

When was Claude Patent Creator last checked?

Last checked 2026-11-12. USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.

From the publisher

Documentation

Claude Patent Creator

-orange.svg)

An AI-powered patent creation and analysis system for Claude Code.

I built this because I needed to file a patent myself. I used AI to build the system, used the system to file the patent, and it worked. Now it's open source so anyone can use it. You do not need to be a lawyer or a programmer. If you can describe your idea in a chat window, you can use this.

In plain terms, this tool lets you:

Ask patent-rule questions in plain English. "Do my claims have to be numbered?" "How long can the abstract be?" You get the actual rule, with a citation, in about a second. (Under the hood it searches the MPEP, the examiner's rulebook, plus the patent statutes and regulations.)
Find out whether your idea is actually new. Search more than 100 million existing patents worldwide for anything close to your invention. This is called a prior art search, and it is the single most important step — it is how you learn whether a patent is even worth pursuing.
Get your draft checked before a human ever bills you an hour. The tool reads your claims and application the way an examiner would and flags the mechanical problems: unclear wording, missing sections, an abstract that is too long. It also tells you which checks it did not run, so a clean report means what it says.
Make the drawings. Patent-style diagrams and flowcharts from a description, no design software.
Go from "here is my idea" to a reviewable draft application. A guided workflow takes your description (or even your source code), hunts for prior art, drafts claims and a specification, checks everything, and hands you a package a patent professional can review quickly — for US or European filing.

New to the vocabulary? Every term this page uses is explained in the Glossary in plain English.

What this tool will and will not do — read this first

This tool is built for people who cannot afford a mistake, so it is honest to a fault. Know what you are getting:

It will tell you "no." If the search finds your idea already exists, the tool's job is to show you the evidence and save you the filing fee — not to flatter you into spending money. A well-reasoned "this is not new, and here is why" is the tool working, not failing.
It never says "verified" loosely. Every automated check reports what it ran and what it skipped. If a report looks clean, you can trust that the words mean exactly what they say.
It does not file anything for you. You review, you decide, you file. The tool prepares; you commit.
It is not a lawyer and does not give legal advice. What it produces is a well-prepared draft plus organized evidence — built so that a patent professional's review is fast and cheap instead of slow and expensive. For anything you intend to file, have a registered patent practitioner look at it. The point of this tool is to make that look-over affordable, not to skip it.
Some judgments are human-only. Whether your invention is "non-obvious" and whether it is the kind of thing patent law protects at all are legal judgments no software makes reliably. The tool arms you for those conversations; it does not have them for you.

What this tool will and will not do
Quick Start
What Can I Actually Do With This?
How It Works
Installation Options
CLI Commands
MCP Tools Reference
Skills, Agents, and Slash Commands
Configuration
Requirements
Architecture
Performance
Known Issues
Glossary
Roadmap
Contributing
Credits
License

Quick Start

Never used Claude Code? It's Anthropic's AI assistant that runs in a terminal or as a desktop app — install it first (a paid Claude subscription is the only cost to start). Then come back here; setup is one command and the tool talks you through the rest.

Pick the path that fits your setup. All three get you to the same place.

Option A: Claude Code Plugin (Easiest)

If you're already using Claude Code, this is the fastest way in:

# Add the marketplace and install
/plugin marketplace add RobThePCGuy/Claude-Patent-Creator
/plugin install claude-patent-creator-standalone@claude-patent-creator

# Run setup
/claude-patent-creator-standalone:setup-patent-system

Option B: One-Line Install

pip install git+https://github.com/RobThePCGuy/Claude-Patent-Creator.git && patent-creator setup

This handles everything automatically: installs dependencies, detects your GPU, downloads MPEP PDFs (~500MB), builds the search index, and registers the MCP server with Claude Code. Restart Claude Code when it finishes.

Option C: Manual Install

git clone https://github.com/RobThePCGuy/Claude-Patent-Creator.git
cd Claude-Patent-Creator

# Optional: use a virtual environment
python -m venv venv
source venv/bin/activate  # Linux/macOS
venv\Scripts\activate     # Windows

pip install -e .
patent-creator setup

Verify It Worked

After any install path, run:

patent-creator health

You should see a status report showing which components are ready. If something's off, the output will tell you what to fix.

What Can I Actually Do With This?

Here are some real examples. You can type these directly in Claude Code and the right skill or tool kicks in automatically. Say it in your own words — the "what to say" column is a starting point, not a required incantation.

What you want to do	What to say	What happens
Find out if a rule applies to you	"Search MPEP for claim definiteness requirements" — or just "do my claims have to be written a certain way?"	The tool searches the examiner's rulebook and returns the relevant sections, with citations you can read yourself
See if your idea already exists	"Search for patents about [your idea]" — e.g. "self-heating coffee mug"	Searches 100M+ existing patents and shows you the closest matches, so you know what you're up against
Get your draft claims checked	"Review these claims" (paste them in)	Flags unclear wording, terms used before they're introduced, and structural problems — the mechanical mistakes an examiner rejects first
Check a whole application	`/full-review`	Runs the claims, description, and formatting checks together and reports everything at once
Go from idea to draft application	`/create-patent`	A guided workflow: describe the invention, the tool searches prior art, drafts, checks, and assembles a reviewable package (typically about an hour)
Make a drawing	"Create a block diagram showing [your system]"	Produces a patent-style figure, no design software needed
Dig deep on whether your idea is new	"Conduct a prior art search for [your invention]"	A thorough multi-angle hunt through existing patents, with an honest verdict on what it found

How It Works

Everything from here down gets progressively more technical. You do not need any of it to use the tool — the sections above plus the Glossary are enough. This part is for developers, patent professionals, and the curious.

The system has two modes that can work independently or together:

MCP Server is the engine. It exposes 20+ tools that any MCP-compatible client (Claude Code, Claude Desktop, etc.) can call programmatically. These tools handle search, analysis, and diagram generation.

Claude Code Plugin adds the interactive layer. Skills activate automatically based on what you're doing. Agents handle long-running tasks in the background. Slash commands give you quick access to common workflows.

Under the hood, patent regulation search uses a hybrid approach: FAISS vector search finds semantically similar content, BM25 lexical search catches exact terminology matches, and a cross-encoder reranker sorts the combined results by relevance. Patent search goes through Google BigQuery's public patent dataset.

You (Claude Code) ──> MCP Server ──> Search / Analysis / Diagrams
                           │
            ┌──────────────┼──────────────┐
            v              v              v
     MPEP/USC/CFR     BigQuery        Graphviz
     (hybrid RAG)    (100M+ patents)   (diagrams)

Installation Options

Installs Python package dependencies
Detects your hardware (NVIDIA GPU, Apple Silicon, or CPU-only)
If a GPU is detected, uninstalls CPU-only PyTorch and installs the GPU version
Restarts the setup process with GPU-enabled PyTorch
Downloads MPEP, 35 USC, and 37 CFR PDFs (~500MB) from the USPTO
Builds the hybrid search index (FAISS + BM25) with GPU acceleration if available
Registers the MCP server with Claude Code

python -m venv venv
source venv/bin/activate  # Linux/macOS
venv\Scripts\activate     # Windows

pip install git+https://github.com/RobThePCGuy/Claude-Patent-Creator.git && patent-creator setup

If you go this route, remember to activate the venv before running any manual commands. Claude Code handles activation automatically.

claude --plugin-dir ./Claude-Patent-Creator

This loads the plugin directly from your local checkout without installing from the marketplace.

CLI Commands

patent-creator setup             # Full setup wizard (downloads, builds index, registers MCP)
patent-creator health            # System health check (shows what's working and what isn't)
patent-creator status            # Same as health
patent-creator verify-config     # Check Claude Code MCP configuration
patent-creator serve             # Run the MCP server manually
patent-creator rebuild-index     # Rebuild the MPEP search index
patent-creator download-mpep     # Download MPEP PDFs only
patent-creator download-all      # Download all sources (MPEP + 35 USC + 37 CFR)
patent-creator check-bigquery    # Test BigQuery connection

MCP Tools Reference

Search

Tool	What it does
`search_mpep`	Hybrid RAG search across MPEP, 35 USC, and 37 CFR with filters
`get_mpep_section`	Pull full content of a specific MPEP section
`search_patents_google`	Full-text keyword search worldwide, claims included (recommended; free SerpApi key, 250 searches/month)
`search_patents_bigquery`	Keyword search fallback when no SerpApi key is set (~$2 a search past the free monthly TiB)
`get_patent_bigquery`	Get details on a specific patent (claims by default; abstract/description opt-in)
`get_patents_bigquery`	Get details on up to 50 patents in one query, same cost as one
`search_patents_by_cpc_bigquery`	Search by CPC classification code
`search_uspto_api`	Search via the USPTO API
`get_uspto_patent`	Get patent details from USPTO
`get_recent_uspto_patents`	Pull recent filings

Getting the campaign workflow (skills)

The MCP server above gives Claude the TOOLS. The campaign workflow — the skill that runs mining, prior art, worth-it economics, drafting, and the red teams end to end — ships as a Claude Code plugin. Two commands:

claude plugin marketplace add RobThePCGuy/Claude-Patent-Creator
claude plugin install claude-patent-creator-standalone@claude-patent-creator

Re-run the install command after upgrades to refresh the skills.

Analysis

Tool	What it does
`review_patent_claims`	35 USC 112(b) compliance check (definiteness, antecedent basis, structure)
`review_specification`	35 USC 112(a) adequacy check (written description, enablement, best mode)
`check_formalities`	MPEP 608 compliance (abstract, title, drawings, required sections)
`check_package`	Whole-package consistency: stale verification stamps, claim-count disagreements, status contradictions, commentary inside filing copies, date errors

Generation

Tool	What it does
`render_diagram`	Generate patent-style diagrams from Graphviz DOT code
`create_flowchart`	Build a flowchart from a list of steps and connections
`create_block_diagram`	Build a block diagram from components and relationships
`add_diagram_references`	Add patent reference numbers to an existing SVG diagram
`get_diagram_templates`	List available diagram templates

System

Tool	What it does
`get_index_stats`	Search index statistics
`check_bigquery_status`	BigQuery configuration status
`check_diagram_tools_status`	Graphviz availability
`check_uspto_api_status`	USPTO API connectivity
`get_patent_details`	Combined patent retrieval across sources

Skills, Agents, and Slash Commands

Skills (activate automatically)

You don't need to call these directly. Just describe what you want to do and the right skill kicks in.

Skill	When it activates	What it brings
setup-assistant	Installing, configuring, or troubleshooting	Full setup lifecycle guidance
patent-reviewer	Reviewing a complete application for compliance	Comprehensive review (claims + spec + formalities)
patent-claims-analyzer	Reviewing claims specifically for 35 USC 112(b)	Deep-dive claims analysis (definiteness, antecedent basis, structure)
patent-search	Searching patents or prior art	BigQuery search workflows via the MCP tools
bigquery-patent-search	Quick BigQuery-only patent search	Keyword, CPC, and patent detail retrieval across 100M+ patents
mpep-search	Finding MPEP sections or regulations	Hybrid RAG search
patent-diagram-generator	Creating technical diagrams	Flowcharts, block diagrams, system architectures via Graphviz
patent-application-creator	Drafting a patent application interactively	Guided end-to-end workflow (prior art, claims, spec, diagrams, compliance)
prior-art-search	Novelty or freedom-to-operate analysis	7-step prior art discovery methodology
index-manager	Building or rebuilding the search index	MPEP index lifecycle management
development-assistant	Adding features or creating tools	Development workflows and patterns
troubleshooting-assistant	Something's broken	Systematic 6-step diagnostics
testing-assistant	Running tests or validation	Test suite execution

Agents (long-running, work independently)

These run in the background while you keep working on other things.

Agent	What it does	How long	Output
patent-creator	Drafts a complete USPTO-ready application	55-80 min	Specification, claims, abstract, diagrams, validation report
prior-art-searcher	Comprehensive prior art search	15-30 min	Patentability report, top 10 prior art, claim strategy, IDS list

To use them: "Create a patent for [your invention], use the patent-creator agent"

Slash Commands

/create-patent          # Complete patent creation workflow (55-80 min)
/search-prior-art       # Prior art search with novelty analysis
/full-review            # Parallel review (claims + spec + formalities)
/review-claims          # Claims-only 35 USC 112(b) analysis
/review-specification   # Specification-only 35 USC 112(a) analysis
/review-formalities     # MPEP 608 formalities check

Configuration

Environment Variables

Create a .env file in the project root (see .env.example):

# Required for BigQuery patent search
GOOGLE_CLOUD_PROJECT=your-project-id

# Optional: EPO OPS API (for EP patent full-text search)
# Free registration at https://developers.epo.org
EPO_OPS_KEY=your-consumer-key
EPO_OPS_SECRET=your-consumer-secret

# Optional API keys (for HyDE query expansion)
ANTHROPIC_API_KEY=sk-ant-...
OPENAI_API_KEY=sk-...

# Optional settings
PATENT_LOG_LEVEL=INFO
PATENT_LOG_FORMAT=human
PATENT_ENABLE_METRICS=true
PATENT_MPEP_USE_HYDE=false
PATENT_MPEP_DEVICE=gpu
PATENT_OPERATION_TIMEOUT=300

BigQuery gives you access to 100M+ worldwide patents. It requires a Google Cloud project with billing enabled (the public patent dataset itself is free to query within BigQuery's free tier).

# 1. Install Google Cloud SDK
# https://cloud.google.com/sdk/docs/install

# 2. Authenticate
gcloud auth application-default login

# 3. Set quota project (replace with your project ID)
gcloud auth application-default set-quota-project your-project-id

# 4. Set the environment variable
export GOOGLE_CLOUD_PROJECT="your-project-id"   # Linux/macOS
$env:GOOGLE_CLOUD_PROJECT="your-project-id"     # Windows PowerShell

# 5. Test it
patent-creator check-bigquery

Git Bash is required for the claude mcp add command on Windows. Install Git for Windows and set the path:

# In your .env file
CLAUDE_CODE_GIT_BASH_PATH=C:\Program Files\Git\bin\bash.exe

Use forward slashes in MCP config paths. The setup wizard handles this, but if you're configuring manually:

# Correct
claude mcp add ... -- "C:/Users/YourName/venv/Scripts/python.exe"

# Wrong (will fail)
claude mcp add ... -- "C:\Users\YourName\venv\Scripts\python.exe"

Requirements

Minimum

Python: 3.9 - 3.13 (3.14 is experimental)
RAM: 8GB
Disk: ~2GB (MPEP PDFs + search index)

Optional (but recommended)

GPU: NVIDIA with CUDA 12.8 (makes indexing 5-10x faster) or Apple Silicon (2-3x faster)
Google Cloud: Project with BigQuery enabled (for patent search)
Graphviz: System package (for diagram generation)

Package	Version	Purpose
mcp	>=2.0.0, <3.0.0	MCP Python SDK (MCPServer)
sentence-transformers	>=5.1.2, <7.0.0	Text embeddings
faiss-cpu	>=1.13.2	Vector similarity search
numpy	>=1.26.0, <3.0.0	Array operations
rank-bm25	>=0.2.2	Lexical search
transformers	>=4.57.6, <6.0.0	HuggingFace models
google-cloud-bigquery	>=3.41.0	Patent search
pydantic	>=2.12.5	Data validation
graphviz	>=0.21	Diagram generation
PyMuPDF	>=1.26.0	PDF processing

See pyproject.toml for the complete list.

Architecture

claude-patent-creator/
├── .claude-plugin/          # Plugin manifest and marketplace config
├── mcp_server/              # Core MCP server
│   ├── server.py            # MCPServer entry point
│   ├── mpep_search.py       # Hybrid RAG search engine
│   ├── bigquery_search.py   # BigQuery patent search
│   ├── claims_analyzer.py   # 35 USC 112(b) analyzer
│   ├── specification_analyzer.py  # 112(a) analyzer
│   ├── formalities_checker.py     # MPEP 608 checker
│   ├── diagram_generator.py       # Graphviz diagrams
│   ├── tools/               # MCP tool definitions
│   └── index/               # FAISS + BM25 index (git-ignored)
├── skills/                  # Claude Code skills (13)
├── agents/                  # Autonomous agents (10)
├── commands/                # Slash commands (11)
├── hooks/                   # Event-driven automation
├── scripts/                 # Testing and utilities
├── docs/                    # Additional documentation
├── pdfs/                    # Downloaded MPEP PDFs (git-ignored)
└── CLAUDE.md                # Full project documentation

For the complete architecture documentation, development workflows, and troubleshooting guides, see CLAUDE.md.

Performance

Operation	Time	Notes
MPEP Search	50-200ms	Hybrid FAISS + BM25
BigQuery Patent Search	1-3 sec	100M+ patents
USPTO API	500ms - 2s	Rate-limited by USPTO
Index Build (GPU)	3-5 min	NVIDIA CUDA 12.8
Index Build (Apple Silicon)	8-12 min	MPS acceleration
Index Build (CPU)	25-35 min	No GPU

Resource usage: the loaded search index takes about 2-4GB of RAM and the index files are 500MB-1GB on disk. If you have a GPU, it'll use 1-2GB of VRAM for acceleration.

Known Issues

This project is a work in progress. Most features work, but expect some rough edges. Contributions, issues, and PRs are welcome.

Things to be aware of:

PyTorch install order matters. Install PyTorch before sentence-transformers, or you'll end up with CPU-only PyTorch even on a GPU system. The setup wizard handles this, but it can bite you on manual installs.
BigQuery requires a Google Cloud project with billing enabled. The patent data itself is free to query within the BigQuery free tier.
Some diagram types need Graphviz installed as a system package (not just the Python bindings).
HyDE query expansion requires API keys (Anthropic or OpenAI). It's optional and off by default.
Windows users need Git Bash for the claude mcp add command. See Windows setup notes.

See CLAUDE.md for the full troubleshooting guide.

Glossary

If you're coming from the development side and patent terminology is new (or vice versa), here's a quick reference:

Term	What it means
MPEP	Manual of Patent Examining Procedure. The handbook patent examiners use at the USPTO. Think of it as the rulebook.
35 USC	Title 35 of the United States Code. The federal patent statutes.
37 CFR	Title 37 of the Code of Federal Regulations. The rules that implement the patent statutes.
USPTO	United States Patent and Trademark Office. The agency that grants patents.
CPC	Cooperative Patent Classification. A system for categorizing patents by technology area.
Prior Art	Anything publicly available before your filing date that's relevant to your invention. Finding it is how you figure out if your idea is actually new.
112(a)	The section of patent law requiring your application to fully describe and enable the invention.
112(b)	The section requiring your claims to be definite and clear.
MPEP 608	The section covering formalities like abstract length, title format, and drawing requirements.
RAG	Retrieval Augmented Generation. Instead of relying only on what the AI was trained on, it searches a database first and uses those results to give a better answer.
FAISS	Facebook AI Similarity Search. A fast way to find similar text by comparing mathematical representations of meaning.
BM25	A text search algorithm that matches exact words and phrases. Works alongside FAISS to catch things vector search might miss.
MCP	Model Context Protocol. A standard for connecting AI tools to AI models. It's how this system talks to Claude.
IDS	Information Disclosure Statement. A form listing prior art references you need to disclose to the USPTO.

Roadmap

Support for international patent offices (EPO, WIPO/PCT)
Web interface for non-Claude Code users
Claim dependency graph visualization
Automated obviousness analysis (35 USC 103)
Patent portfolio analysis tools
Integration with patent drafting software

Contributing

This project is open to contributions. Since it's a work in progress, expect breaking changes and incomplete documentation. Issues and PRs are welcome.

See CONTRIBUTING.md for the development setup, branch naming, commit conventions, and code style guide.

Credits

Open Source Dependencies

This project builds on excellent open source work: MCP Python SDK, FAISS (Meta AI Research), Sentence Transformers (UKP Lab), HuggingFace Transformers, PyTorch, rank-bm25, PyMuPDF, Graphviz, Pydantic, and Google Cloud BigQuery.

Data Sources

MPEP, 35 USC, and 37 CFR are published by the USPTO. Patent data comes from Google BigQuery's patents-public-data dataset (100M+ patents). Embedding models are BGE-base-en-v1.5 (BAAI) and MS-MARCO MiniLM-L-6-v2 (Microsoft).

Trademark Notice

"USPTO" is a registered trademark of the United States Patent and Trademark Office. This project isn't affiliated with, endorsed by, or sponsored by the USPTO.

Project Status

This project is in beta. I'm actively working on it, but not everything is polished and some features may not work as described. If you run into issues, open one on GitHub and I'll take a look.

For detailed documentation: CLAUDE.md | For security issues: SECURITY.md

License

MIT License. See LICENSE for details.

Built with Claude Code. The code is the output, but the real work is deciding what needs to exist and how the pieces fit together.

Claude Patent Creator

RobThePCGuy211starsClaim this server

USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, d

Knowledge Memory Databases Autonomous Agents

Installieren Auf PlugMCP ausführenClaim this server

GitHub Website

Auf PlugMCP ausführen

1# Claude Patent Creator

README.mdMCP server

Transport: stdio
Status: Local

Agenten stärken

Diesen Server hinzufügen

Install from the publisher. Not a PlugMCP endpoint.

Auf PlugMCP ausführen

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Auf PlugMCP ausführen

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Starten

Server facts

Local

Transport: stdio
License: MIT
Last checked: 2026-11-12

Stars: 211
Tools: —
Uptime: —

Overview

About Claude Patent Creator

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Claude Patent Creator?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Claude Patent Creator need an API key?

No required environment variable is listed on this record.

What transport does Claude Patent Creator use?

Claude Patent Creator runs locally over stdio.

When was Claude Patent Creator last checked?

From the publisher

Documentation

Claude Patent Creator

-orange.svg)

An AI-powered patent creation and analysis system for Claude Code.

In plain terms, this tool lets you:

Ask patent-rule questions in plain English. "Do my claims have to be numbered?" "How long can the abstract be?" You get the actual rule, with a citation, in about a second. (Under the hood it searches the MPEP, the examiner's rulebook, plus the patent statutes and regulations.)
Find out whether your idea is actually new. Search more than 100 million existing patents worldwide for anything close to your invention. This is called a prior art search, and it is the single most important step — it is how you learn whether a patent is even worth pursuing.
Get your draft checked before a human ever bills you an hour. The tool reads your claims and application the way an examiner would and flags the mechanical problems: unclear wording, missing sections, an abstract that is too long. It also tells you which checks it did not run, so a clean report means what it says.
Make the drawings. Patent-style diagrams and flowcharts from a description, no design software.
Go from "here is my idea" to a reviewable draft application. A guided workflow takes your description (or even your source code), hunts for prior art, drafts claims and a specification, checks everything, and hands you a package a patent professional can review quickly — for US or European filing.

New to the vocabulary? Every term this page uses is explained in the Glossary in plain English.

What this tool will and will not do — read this first

This tool is built for people who cannot afford a mistake, so it is honest to a fault. Know what you are getting:

It will tell you "no." If the search finds your idea already exists, the tool's job is to show you the evidence and save you the filing fee — not to flatter you into spending money. A well-reasoned "this is not new, and here is why" is the tool working, not failing.
It never says "verified" loosely. Every automated check reports what it ran and what it skipped. If a report looks clean, you can trust that the words mean exactly what they say.
It does not file anything for you. You review, you decide, you file. The tool prepares; you commit.
It is not a lawyer and does not give legal advice. What it produces is a well-prepared draft plus organized evidence — built so that a patent professional's review is fast and cheap instead of slow and expensive. For anything you intend to file, have a registered patent practitioner look at it. The point of this tool is to make that look-over affordable, not to skip it.
Some judgments are human-only. Whether your invention is "non-obvious" and whether it is the kind of thing patent law protects at all are legal judgments no software makes reliably. The tool arms you for those conversations; it does not have them for you.

What this tool will and will not do
Quick Start
What Can I Actually Do With This?
How It Works
Installation Options
CLI Commands
MCP Tools Reference
Skills, Agents, and Slash Commands
Configuration
Requirements
Architecture
Performance
Known Issues
Glossary
Roadmap
Contributing
Credits
License

Quick Start

Pick the path that fits your setup. All three get you to the same place.

Option A: Claude Code Plugin (Easiest)

If you're already using Claude Code, this is the fastest way in:

# Add the marketplace and install
/plugin marketplace add RobThePCGuy/Claude-Patent-Creator
/plugin install claude-patent-creator-standalone@claude-patent-creator

# Run setup
/claude-patent-creator-standalone:setup-patent-system

Option B: One-Line Install

pip install git+https://github.com/RobThePCGuy/Claude-Patent-Creator.git && patent-creator setup

Option C: Manual Install

git clone https://github.com/RobThePCGuy/Claude-Patent-Creator.git
cd Claude-Patent-Creator

# Optional: use a virtual environment
python -m venv venv
source venv/bin/activate  # Linux/macOS
venv\Scripts\activate     # Windows

pip install -e .
patent-creator setup

Verify It Worked

After any install path, run:

patent-creator health

You should see a status report showing which components are ready. If something's off, the output will tell you what to fix.

What Can I Actually Do With This?

What you want to do	What to say	What happens
Find out if a rule applies to you	"Search MPEP for claim definiteness requirements" — or just "do my claims have to be written a certain way?"	The tool searches the examiner's rulebook and returns the relevant sections, with citations you can read yourself
See if your idea already exists	"Search for patents about [your idea]" — e.g. "self-heating coffee mug"	Searches 100M+ existing patents and shows you the closest matches, so you know what you're up against
Get your draft claims checked	"Review these claims" (paste them in)	Flags unclear wording, terms used before they're introduced, and structural problems — the mechanical mistakes an examiner rejects first
Check a whole application	`/full-review`	Runs the claims, description, and formatting checks together and reports everything at once
Go from idea to draft application	`/create-patent`	A guided workflow: describe the invention, the tool searches prior art, drafts, checks, and assembles a reviewable package (typically about an hour)
Make a drawing	"Create a block diagram showing [your system]"	Produces a patent-style figure, no design software needed
Dig deep on whether your idea is new	"Conduct a prior art search for [your invention]"	A thorough multi-angle hunt through existing patents, with an honest verdict on what it found

How It Works

The system has two modes that can work independently or together:

You (Claude Code) ──> MCP Server ──> Search / Analysis / Diagrams
                           │
            ┌──────────────┼──────────────┐
            v              v              v
     MPEP/USC/CFR     BigQuery        Graphviz
     (hybrid RAG)    (100M+ patents)   (diagrams)

Installation Options

Installs Python package dependencies
Detects your hardware (NVIDIA GPU, Apple Silicon, or CPU-only)
If a GPU is detected, uninstalls CPU-only PyTorch and installs the GPU version
Restarts the setup process with GPU-enabled PyTorch
Downloads MPEP, 35 USC, and 37 CFR PDFs (~500MB) from the USPTO
Builds the hybrid search index (FAISS + BM25) with GPU acceleration if available
Registers the MCP server with Claude Code

python -m venv venv
source venv/bin/activate  # Linux/macOS
venv\Scripts\activate     # Windows

pip install git+https://github.com/RobThePCGuy/Claude-Patent-Creator.git && patent-creator setup

If you go this route, remember to activate the venv before running any manual commands. Claude Code handles activation automatically.

claude --plugin-dir ./Claude-Patent-Creator

This loads the plugin directly from your local checkout without installing from the marketplace.

CLI Commands

patent-creator setup             # Full setup wizard (downloads, builds index, registers MCP)
patent-creator health            # System health check (shows what's working and what isn't)
patent-creator status            # Same as health
patent-creator verify-config     # Check Claude Code MCP configuration
patent-creator serve             # Run the MCP server manually
patent-creator rebuild-index     # Rebuild the MPEP search index
patent-creator download-mpep     # Download MPEP PDFs only
patent-creator download-all      # Download all sources (MPEP + 35 USC + 37 CFR)
patent-creator check-bigquery    # Test BigQuery connection

MCP Tools Reference

Search

Tool	What it does
`search_mpep`	Hybrid RAG search across MPEP, 35 USC, and 37 CFR with filters
`get_mpep_section`	Pull full content of a specific MPEP section
`search_patents_google`	Full-text keyword search worldwide, claims included (recommended; free SerpApi key, 250 searches/month)
`search_patents_bigquery`	Keyword search fallback when no SerpApi key is set (~$2 a search past the free monthly TiB)
`get_patent_bigquery`	Get details on a specific patent (claims by default; abstract/description opt-in)
`get_patents_bigquery`	Get details on up to 50 patents in one query, same cost as one
`search_patents_by_cpc_bigquery`	Search by CPC classification code
`search_uspto_api`	Search via the USPTO API
`get_uspto_patent`	Get patent details from USPTO
`get_recent_uspto_patents`	Pull recent filings

Getting the campaign workflow (skills)

claude plugin marketplace add RobThePCGuy/Claude-Patent-Creator
claude plugin install claude-patent-creator-standalone@claude-patent-creator

Re-run the install command after upgrades to refresh the skills.

Analysis

Tool	What it does
`review_patent_claims`	35 USC 112(b) compliance check (definiteness, antecedent basis, structure)
`review_specification`	35 USC 112(a) adequacy check (written description, enablement, best mode)
`check_formalities`	MPEP 608 compliance (abstract, title, drawings, required sections)
`check_package`	Whole-package consistency: stale verification stamps, claim-count disagreements, status contradictions, commentary inside filing copies, date errors

Generation

Tool	What it does
`render_diagram`	Generate patent-style diagrams from Graphviz DOT code
`create_flowchart`	Build a flowchart from a list of steps and connections
`create_block_diagram`	Build a block diagram from components and relationships
`add_diagram_references`	Add patent reference numbers to an existing SVG diagram
`get_diagram_templates`	List available diagram templates

System

Tool	What it does
`get_index_stats`	Search index statistics
`check_bigquery_status`	BigQuery configuration status
`check_diagram_tools_status`	Graphviz availability
`check_uspto_api_status`	USPTO API connectivity
`get_patent_details`	Combined patent retrieval across sources

Skills, Agents, and Slash Commands

Skills (activate automatically)

You don't need to call these directly. Just describe what you want to do and the right skill kicks in.

Skill	When it activates	What it brings
setup-assistant	Installing, configuring, or troubleshooting	Full setup lifecycle guidance
patent-reviewer	Reviewing a complete application for compliance	Comprehensive review (claims + spec + formalities)
patent-claims-analyzer	Reviewing claims specifically for 35 USC 112(b)	Deep-dive claims analysis (definiteness, antecedent basis, structure)
patent-search	Searching patents or prior art	BigQuery search workflows via the MCP tools
bigquery-patent-search	Quick BigQuery-only patent search	Keyword, CPC, and patent detail retrieval across 100M+ patents
mpep-search	Finding MPEP sections or regulations	Hybrid RAG search
patent-diagram-generator	Creating technical diagrams	Flowcharts, block diagrams, system architectures via Graphviz
patent-application-creator	Drafting a patent application interactively	Guided end-to-end workflow (prior art, claims, spec, diagrams, compliance)
prior-art-search	Novelty or freedom-to-operate analysis	7-step prior art discovery methodology
index-manager	Building or rebuilding the search index	MPEP index lifecycle management
development-assistant	Adding features or creating tools	Development workflows and patterns
troubleshooting-assistant	Something's broken	Systematic 6-step diagnostics
testing-assistant	Running tests or validation	Test suite execution

Agents (long-running, work independently)

These run in the background while you keep working on other things.

Agent	What it does	How long	Output
patent-creator	Drafts a complete USPTO-ready application	55-80 min	Specification, claims, abstract, diagrams, validation report
prior-art-searcher	Comprehensive prior art search	15-30 min	Patentability report, top 10 prior art, claim strategy, IDS list

To use them: "Create a patent for [your invention], use the patent-creator agent"

Slash Commands

/create-patent          # Complete patent creation workflow (55-80 min)
/search-prior-art       # Prior art search with novelty analysis
/full-review            # Parallel review (claims + spec + formalities)
/review-claims          # Claims-only 35 USC 112(b) analysis
/review-specification   # Specification-only 35 USC 112(a) analysis
/review-formalities     # MPEP 608 formalities check

Configuration

Environment Variables

Create a .env file in the project root (see .env.example):

# Required for BigQuery patent search
GOOGLE_CLOUD_PROJECT=your-project-id

# Optional: EPO OPS API (for EP patent full-text search)
# Free registration at https://developers.epo.org
EPO_OPS_KEY=your-consumer-key
EPO_OPS_SECRET=your-consumer-secret

# Optional API keys (for HyDE query expansion)
ANTHROPIC_API_KEY=sk-ant-...
OPENAI_API_KEY=sk-...

# Optional settings
PATENT_LOG_LEVEL=INFO
PATENT_LOG_FORMAT=human
PATENT_ENABLE_METRICS=true
PATENT_MPEP_USE_HYDE=false
PATENT_MPEP_DEVICE=gpu
PATENT_OPERATION_TIMEOUT=300

BigQuery gives you access to 100M+ worldwide patents. It requires a Google Cloud project with billing enabled (the public patent dataset itself is free to query within BigQuery's free tier).

# 1. Install Google Cloud SDK
# https://cloud.google.com/sdk/docs/install

# 2. Authenticate
gcloud auth application-default login

# 3. Set quota project (replace with your project ID)
gcloud auth application-default set-quota-project your-project-id

# 4. Set the environment variable
export GOOGLE_CLOUD_PROJECT="your-project-id"   # Linux/macOS
$env:GOOGLE_CLOUD_PROJECT="your-project-id"     # Windows PowerShell

# 5. Test it
patent-creator check-bigquery

Git Bash is required for the claude mcp add command on Windows. Install Git for Windows and set the path:

# In your .env file
CLAUDE_CODE_GIT_BASH_PATH=C:\Program Files\Git\bin\bash.exe

Use forward slashes in MCP config paths. The setup wizard handles this, but if you're configuring manually:

# Correct
claude mcp add ... -- "C:/Users/YourName/venv/Scripts/python.exe"

# Wrong (will fail)
claude mcp add ... -- "C:\Users\YourName\venv\Scripts\python.exe"

Requirements

Minimum

Python: 3.9 - 3.13 (3.14 is experimental)
RAM: 8GB
Disk: ~2GB (MPEP PDFs + search index)

Optional (but recommended)

GPU: NVIDIA with CUDA 12.8 (makes indexing 5-10x faster) or Apple Silicon (2-3x faster)
Google Cloud: Project with BigQuery enabled (for patent search)
Graphviz: System package (for diagram generation)

Package	Version	Purpose
mcp	>=2.0.0, <3.0.0	MCP Python SDK (MCPServer)
sentence-transformers	>=5.1.2, <7.0.0	Text embeddings
faiss-cpu	>=1.13.2	Vector similarity search
numpy	>=1.26.0, <3.0.0	Array operations
rank-bm25	>=0.2.2	Lexical search
transformers	>=4.57.6, <6.0.0	HuggingFace models
google-cloud-bigquery	>=3.41.0	Patent search
pydantic	>=2.12.5	Data validation
graphviz	>=0.21	Diagram generation
PyMuPDF	>=1.26.0	PDF processing

See pyproject.toml for the complete list.

Architecture

claude-patent-creator/
├── .claude-plugin/          # Plugin manifest and marketplace config
├── mcp_server/              # Core MCP server
│   ├── server.py            # MCPServer entry point
│   ├── mpep_search.py       # Hybrid RAG search engine
│   ├── bigquery_search.py   # BigQuery patent search
│   ├── claims_analyzer.py   # 35 USC 112(b) analyzer
│   ├── specification_analyzer.py  # 112(a) analyzer
│   ├── formalities_checker.py     # MPEP 608 checker
│   ├── diagram_generator.py       # Graphviz diagrams
│   ├── tools/               # MCP tool definitions
│   └── index/               # FAISS + BM25 index (git-ignored)
├── skills/                  # Claude Code skills (13)
├── agents/                  # Autonomous agents (10)
├── commands/                # Slash commands (11)
├── hooks/                   # Event-driven automation
├── scripts/                 # Testing and utilities
├── docs/                    # Additional documentation
├── pdfs/                    # Downloaded MPEP PDFs (git-ignored)
└── CLAUDE.md                # Full project documentation

For the complete architecture documentation, development workflows, and troubleshooting guides, see CLAUDE.md.

Performance

Operation	Time	Notes
MPEP Search	50-200ms	Hybrid FAISS + BM25
BigQuery Patent Search	1-3 sec	100M+ patents
USPTO API	500ms - 2s	Rate-limited by USPTO
Index Build (GPU)	3-5 min	NVIDIA CUDA 12.8
Index Build (Apple Silicon)	8-12 min	MPS acceleration
Index Build (CPU)	25-35 min	No GPU

Resource usage: the loaded search index takes about 2-4GB of RAM and the index files are 500MB-1GB on disk. If you have a GPU, it'll use 1-2GB of VRAM for acceleration.

Known Issues

This project is a work in progress. Most features work, but expect some rough edges. Contributions, issues, and PRs are welcome.

Things to be aware of:

PyTorch install order matters. Install PyTorch before sentence-transformers, or you'll end up with CPU-only PyTorch even on a GPU system. The setup wizard handles this, but it can bite you on manual installs.
BigQuery requires a Google Cloud project with billing enabled. The patent data itself is free to query within the BigQuery free tier.
Some diagram types need Graphviz installed as a system package (not just the Python bindings).
HyDE query expansion requires API keys (Anthropic or OpenAI). It's optional and off by default.
Windows users need Git Bash for the claude mcp add command. See Windows setup notes.

See CLAUDE.md for the full troubleshooting guide.

Glossary

If you're coming from the development side and patent terminology is new (or vice versa), here's a quick reference:

Term	What it means
MPEP	Manual of Patent Examining Procedure. The handbook patent examiners use at the USPTO. Think of it as the rulebook.
35 USC	Title 35 of the United States Code. The federal patent statutes.
37 CFR	Title 37 of the Code of Federal Regulations. The rules that implement the patent statutes.
USPTO	United States Patent and Trademark Office. The agency that grants patents.
CPC	Cooperative Patent Classification. A system for categorizing patents by technology area.
Prior Art	Anything publicly available before your filing date that's relevant to your invention. Finding it is how you figure out if your idea is actually new.
112(a)	The section of patent law requiring your application to fully describe and enable the invention.
112(b)	The section requiring your claims to be definite and clear.
MPEP 608	The section covering formalities like abstract length, title format, and drawing requirements.
RAG	Retrieval Augmented Generation. Instead of relying only on what the AI was trained on, it searches a database first and uses those results to give a better answer.
FAISS	Facebook AI Similarity Search. A fast way to find similar text by comparing mathematical representations of meaning.
BM25	A text search algorithm that matches exact words and phrases. Works alongside FAISS to catch things vector search might miss.
MCP	Model Context Protocol. A standard for connecting AI tools to AI models. It's how this system talks to Claude.
IDS	Information Disclosure Statement. A form listing prior art references you need to disclose to the USPTO.

Roadmap

Support for international patent offices (EPO, WIPO/PCT)
Web interface for non-Claude Code users
Claim dependency graph visualization
Automated obviousness analysis (35 USC 103)
Patent portfolio analysis tools
Integration with patent drafting software

Contributing

This project is open to contributions. Since it's a work in progress, expect breaking changes and incomplete documentation. Issues and PRs are welcome.

See CONTRIBUTING.md for the development setup, branch naming, commit conventions, and code style guide.

Credits

Open Source Dependencies

Data Sources

Trademark Notice

"USPTO" is a registered trademark of the United States Patent and Trademark Office. This project isn't affiliated with, endorsed by, or sponsored by the USPTO.

Project Status

This project is in beta. I'm actively working on it, but not everything is polished and some features may not work as described. If you run into issues, open one on GitHub and I'll take a look.

For detailed documentation: CLAUDE.md | For security issues: SECURITY.md

License

MIT License. See LICENSE for details.

Built with Claude Code. The code is the output, but the real work is deciding what needs to exist and how the pieces fit together.

Diesen Server hinzufügen

Host a copy with our keys and logs.

Server facts

About Claude Patent Creator

Tools

Questions

How do I install Claude Patent Creator?

Does Claude Patent Creator need an API key?

What transport does Claude Patent Creator use?

When was Claude Patent Creator last checked?

Documentation

Claude Patent Creator

What this tool will and will not do — read this first

Table of Contents

Quick Start

Option A: Claude Code Plugin (Easiest)

Option B: One-Line Install

Option C: Manual Install

Verify It Worked

What Can I Actually Do With This?

How It Works

Installation Options

CLI Commands

MCP Tools Reference

Search

Getting the campaign workflow (skills)

Analysis

Generation

System

Skills, Agents, and Slash Commands

Skills (activate automatically)

Agents (long-running, work independently)

Slash Commands

Configuration

Environment Variables

Requirements

Minimum

Optional (but recommended)

Architecture

Performance

Known Issues

Glossary

Roadmap

Contributing

Credits

Open Source Dependencies

Data Sources

Trademark Notice

Project Status

License

Diesen Server hinzufügen

Host a copy with our keys and logs.

Server facts

About Claude Patent Creator

Tools

Questions

How do I install Claude Patent Creator?

Does Claude Patent Creator need an API key?

What transport does Claude Patent Creator use?

When was Claude Patent Creator last checked?

Documentation

Claude Patent Creator

What this tool will and will not do — read this first

Table of Contents

Quick Start

Option A: Claude Code Plugin (Easiest)

Option B: One-Line Install

Option C: Manual Install

Verify It Worked

What Can I Actually Do With This?

How It Works

Installation Options

CLI Commands

MCP Tools Reference

Search

Getting the campaign workflow (skills)

Analysis

Generation

System

Skills, Agents, and Slash Commands