How do I install LLMScribe?

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 LLMScribe need an API key?

No required environment variable is listed on this record.

What transport does LLMScribe use?

LLMScribe runs locally over stdio.

When was LLMScribe last checked?

Last checked 2026-10-16. Deterministic repo map, search and file reader for AI agents.

LLMScribe MCP server

LLMScribe

Turn any code repository into clean, structured, deterministic data. No AI. No embeddings. No hidden ranking. Open source and available as a free hosted MCP.

Pst. Hey, you, join our stargazers :)

Why LLMScribe?

Deterministic: Same input, predictable output. No LLM, embeddings, or AI ranking
Repository-first: Works with local projects and public GitHub repositories, no cloning required
Structured output: Machine-readable JSON for every operation
Fast discovery: Map a project, search it, then retrieve exactly what you need
Dependency-aware: Understand local, external, and unresolved dependencies
Git-aware: Inspect status and unified diffs
Agent ready: Connect LLMScribe to any AI agent or MCP client with a single config block
Multiple interfaces: CLI, MCP, GUI, and a programmatic core, all sharing the same engine
Open source: Apache-2.0, self-hostable, and free forever

LLMScribe doesn't try to be the intelligence. It provides the data that intelligence needs.

Feature Overview

Core Tools

Feature	Description
Map	Generate a clean directory tree without dumping file contents
Search	Search file paths, file names, file contents, and individual lines
Read	Safely retrieve a specific file

More

Feature	Description
Read Many	Retrieve multiple files in a single operation
Dependencies	See what a file depends on and what depends on it
Diff	Inspect Git status and unified diffs
Overview	Export the complete structure and supported file contents

Quick Start

Install LLMScribe from PyPI:

pip install llmscribe

Then point it at any project directory, or (through the MCP tools) at a public GitHub repo. No API key needed.

The project_map(...), search(...), read(...) snippets below show MCP tool calls. The same operations are available from the CLI (local directories) and from Python through llmscribe.core (see Python API).

Map

Generate a clean directory tree without file contents. This is the best first step when exploring an unfamiliar repository.

project_map()

# or a public GitHub repo, no clone needed
project_map(repo="owner/repo")

CLI

llmscribe map
llmscribe map --json

MCP

project_map

Output:

src/
├── api/
│   ├── routes.py
│   └── auth.py
├── models/
│   └── user.py
└── main.py

Search

Search across file paths, file names, file contents, and individual lines. Search is intentionally deterministic: LLMScribe does not try to guess what you meant.

search(query="authentication")

# or a public GitHub repo
search(query="authentication", repo="owner/repo")

CLI

llmscribe search "authentication"
llmscribe search "authentication" --json

MCP

search

Each match includes the file path, line number, the matching line, the matched text and the match type (filename or content). Results are ordered by path then line and limited to 1,000 matches; binary and oversized files are skipped.

Output (--json, data.matches):

[
  {
    "file_path": "src/auth/service.py",
    "line_number": 12,
    "line_content": "def authenticate(user, password):",
    "match_type": "content",
    "matched_text": "authenticate"
  }
]

Read

Safely retrieve the contents of a specific file. LLMScribe validates paths and prevents path traversal outside the project.

read(file_path="src/auth/service.py")

# or a public GitHub repo
read(file_path="src/main.py", repo="owner/repo")

CLI

llmscribe read src/auth/service.py

MCP

read

path and repo are mutually exclusive. Use path for a local project and repo for a public GitHub repository.

Power Your Agent

Instead of throwing an entire repository into a context window, an agent can progressively retrieve exactly what it needs:

1. project_map()
      ↓
2. search("authentication")
      ↓
3. read("src/auth/service.py")
      ↓
4. project_dependencies("src/auth/service.py")
      ↓
5. read_many([...])

MCP

Connect any MCP-compatible client (Cursor, Claude, Windsurf, and more) to your repository.

Free hosted MCP. No installation required:

{
  "mcpServers": {
    "llmscribe": {
      "url": "https://llmscribe.onrender.com/mcp"
    }
  }
}

For clients that support custom remote connectors, simply provide the endpoint: https://llmscribe.onrender.com/mcp

The public endpoint is convenient for experimentation. For private code or production workloads, self-host LLMScribe instead.

Local MCP. Runs on your machine, over stdio:

{
  "mcpServers": {
    "llmscribe": {
      "command": "llmscribe-mcp"
    }
  }
}

{
  "mcpServers": {
    "llmscribe": {
      "command": "python",
      "args": ["-m", "llmscribe.mcp"]
    }
  }
}

Available tools

project_map
project_overview
search
read
read_many
project_dependencies
project_diff

More Tools

Read Many

Retrieve multiple files in a single operation. Partial success is supported, so one problematic file does not invalidate the entire request.

read_many([
    "src/auth/service.py",
    "src/auth/models.py",
    "src/api/login.py"
])

llmscribe read-many src/auth/service.py src/api/login.py

Dependencies

Inspect the dependency relationships around a file. LLMScribe identifies local dependencies, external dependencies, unresolved dependencies, and the files that depend on this file.

project_dependencies("src/auth/service.py")

llmscribe dependencies src/auth/service.py --json

Output:

src/auth/service.py
│
├── depends on
│   ├── auth/models.py
│   ├── auth/config.py
│   └── auth/utils.py
│
└── used by
    ├── api/login.py
    └── tests/test_auth.py

This is particularly useful when determining the potential impact of modifying a file.

Diff

Inspect repository changes using Git. Supports Git status, unstaged changes, staged changes, specific commits, and unified diffs.

llmscribe diff

This lets applications and agents understand not only the current repository, but also what changed.

Overview

Generate a complete project snapshot containing the directory structure, supported text file contents, and structured project information.

llmscribe overview

Best for small and medium-sized projects. For large repositories, use the recommended workflow instead:

map → search → read

CLI

Every command can return machine-readable JSON with --json, which makes the CLI a building block for scripts, automation, and developer tools.

llmscribe map
llmscribe overview
llmscribe search "authentication"
llmscribe read src/auth/service.py
llmscribe read-many src/auth/service.py src/api/login.py
llmscribe dependencies src/auth/service.py
llmscribe diff

# machine-readable output
llmscribe map --json
llmscribe search "auth" --json
llmscribe dependencies src/auth/service.py --json

Self-Hosting

Run your own HTTP MCP server for private repositories, teams, internal developer tools, and production applications.

Run locally

pip install llmscribe

MCP_TRANSPORT=http MCP_ALLOW_LOCAL_PATHS=1 llmscribe-mcp

The server will be available at http://localhost:8000/mcp, with GET /health and GET /info for monitoring.

Over HTTP the path argument is disabled by default so a hosted server does not expose its own disk. Set MCP_ALLOW_LOCAL_PATHS=1 to allow any local path (only on a machine you trust), or MCP_ALLOWED_ROOTS=/srv/a:/srv/b to allow specific directories. GitHub repositories (repo=) always work.

Docker

docker build -t llmscribe-mcp .

docker run -p 8000:8000 -e MCP_ALLOWED_HOSTS="localhost,localhost:*,mcp.example.com" llmscribe-mcp

The image runs python -m llmscribe.mcp with MCP_TRANSPORT=http, as an unprivileged user, and has a /health with a healthcheck.

Railway

railway up

Environment Variables

Variable	Description	Default
`MCP_TRANSPORT`	`stdio` or `http`	`stdio`
`HOST`	HTTP bind address	`0.0.0.0`
`PORT`	HTTP port	`8000`
`MCP_ALLOWED_HOSTS`	Accepted `Host` values for `/mcp` (comma-separated, `host:` for any port, `` for any). Default: loopback plus `RENDER_EXTERNAL_HOSTNAME` / `RAILWAY_PUBLIC_DOMAIN`	loopback
`MCP_ALLOWED_ORIGINS`	Accepted `Origin` values for `/mcp` (requests without an `Origin`, i.e. all non-browser clients, are always accepted). Default: loopback, `claude.ai`, the platform hostname; `*` allows any	see left
`MCP_ALLOW_LOCAL_PATHS`	`1` allows any local `path` over HTTP	off
`MCP_ALLOWED_ROOTS`	Directories (separated by `:` / `;`) allowed as `path` over HTTP	none
`GITHUB_TOKEN` / `GH_TOKEN`	Token for private repositories and higher rate limits (sent only to `api.github.com`)	none
`LLMSCRIBE_CACHE_MAX_ENTRIES`	GitHub snapshots kept in memory (`0` disables)	`8`
`LLMSCRIBE_CACHE_TTL_SECONDS`	Snapshot lifetime	`300`

Run a single process (the cache and MCP sessions live in memory). `PORT` without `MCP_TRANSPORT` still selects HTTP for backward compatibility, but set `MCP_TRANSPORT=http` explicitly.

Python API

from pathlib import Path
from llmscribe.core import project_map, search_project, read_file, read_files, analyze_dependencies, get_git_diff, LLMScribeError

root = Path(".")
print(project_map(root).tree)
print(search_project("auth", root).to_dict())
print(read_files(["README.md", "missing.py"], root).to_dict())   # per-file errors, never raises
try:
    analyze_dependencies("src/app.py", root)
except LLMScribeError as err:      # err.code is a stable machine-readable code
    print(err.code, err.message)

Behavior reference

Ignore rules. Defaults (.git, node_modules, venv, dist, build, .env, *.log, …), the root .gitignore and nested .gitignore files are applied with real Git semantics (wildcards, directories, ! negation, root-anchored patterns). Hidden files are included unless ignored; symlinks are never followed or listed.

Supported text files. Known source/config/doc extensions plus names such as Dockerfile, Makefile, LICENSE, .gitignore. Other files appear in the tree but cannot be read or searched.

Limits (single source: llmscribe.core.limits): 400,000 content characters per overview/read_many, 50 files per read_many, 1,000 search matches, 20,000 map entries, 2 MiB per file, 200,000 diff characters, 100 MiB archive download, 250 MiB / 100,000 entries per archive. Anything cut is reported (truncated, truncation_note, omitted_files).

Errors. Every failure has a stable code: invalid_argument, invalid_path, file_not_found, unsupported_file_type, binary_file, file_too_large, read_error, repository_not_found, not_a_repository, repository_too_large, github_rate_limited, github_auth_required, github_unavailable, git_unavailable, unsupported_operation, internal_error. JSON: {"ok": false, "tool": "...", "error": {"code": "...", "message": "..."}}.

Dependencies. Python, JavaScript/TypeScript, Java, Go, Rust, C/C++. Each reference is local, stdlib, external (not in the repository, assumed third-party) or unresolved (relative/local reference that matches nothing); used_by lists reverse dependencies. Works identically for local and GitHub sources.

GitHub. Public repositories (and private ones with GITHUB_TOKEN) are fetched as one zip archive and cached in memory per owner/repo/ref/credential. Nothing is cloned or written to disk. project_diff on GitHub uses the compare API and requires commit (base) with optional ref (head); staged is local only.

Git diff (local). Runs git with an argument list, a 30 s timeout, a minimal environment, and without external diff/textconv drivers.

Migration notes

Legacy tool names (project_get_file, project_get_files, project_search, project_list_files) are gone; use read, read_many, search.
Error code path_traversal is now invalid_path; not_text_file is unsupported_file_type.
project_dependencies results: all_local_files/all_external_deps/all_unresolved were replaced by used_by and per-category lists (stdlib_dependencies added).
llmscribe.core functions raise LLMScribeError (not FileNotFoundError) for a bad root; the dependency-provider classes and llmscribe.github.provider helpers were removed.
Over HTTP, local path access now requires MCP_ALLOW_LOCAL_PATHS or MCP_ALLOWED_ROOTS.

Architecture

All interfaces share one core engine, so behavior stays consistent everywhere.

                         Repository
                             │
               ┌─────────────┴─────────────┐
               │                           │
          Local Project               GitHub Repo
               │                           │
               └─────────────┬─────────────┘
                             ▼
                     LLMScribe Core
                             │
       ┌─────────────────────┼─────────────────────┐
       │                     │                     │
       ▼                     ▼                     ▼
      CLI                   MCP                   GUI
       │                     │
       └──────────────┬──────┘
                      ▼
              Structured Output
                   / JSON

Philosophy

LLMScribe intentionally stays simple. The goal is not to make the repository "smarter." The goal is to make the repository accessible to software.

We provide

Repository extraction
Deterministic search
Structured project data
File retrieval
Dependency information
Git information
Multiple interfaces

We don't provide

❌ AI-generated answers
❌ Embedding-based search
❌ Semantic ranking
❌ Autonomous coding
❌ An AI coding agent
❌ A generic Git client

Use Cases

AI coding agents
MCP applications
Developer tools
Code search interfaces
Repository explorers
Documentation systems
Code analysis pipelines
Automation scripts
Local LLM applications
Exploring unfamiliar open-source projects

Open Source vs Hosted

LLMScribe is open source under the Apache License 2.0. Run it locally, inspect the source, modify it, self-host it, and build your own integrations.

The hosted MCP endpoint provides a convenient zero-install option for trying it out, while the open-source project gives you complete control.

Resources

Website: https://llmscribe.vercel.app
GitHub: https://github.com/AMRITO-KUNDU/llmscribe
PyPI: https://pypi.org/project/llmscribe/
Public MCP: https://llmscribe.onrender.com/mcp
Issues: https://github.com/AMRITO-KUNDU/llmscribe/issues
Contributing: https://github.com/AMRITO-KUNDU/llmscribe/blob/main/CONTRIBUTING.md

Contributing

Contributions are welcome. If you want to improve repository extraction, search, dependency analysis, interfaces, integrations, or documentation, check the contributing guide before opening a pull request.

License

LLMScribe is licensed under the Apache License 2.0. See the LICENSE file for details.

Repository data, structured.

↑ Back to top

LLMScribe

Turn any code repository into clean, structured, deterministic data. No AI. No embeddings. No hidden ranking. Open source and available as a free hosted MCP.

Pst. Hey, you, join our stargazers :)

Why LLMScribe?

Deterministic: Same input, predictable output. No LLM, embeddings, or AI ranking
Repository-first: Works with local projects and public GitHub repositories, no cloning required
Structured output: Machine-readable JSON for every operation
Fast discovery: Map a project, search it, then retrieve exactly what you need
Dependency-aware: Understand local, external, and unresolved dependencies
Git-aware: Inspect status and unified diffs
Agent ready: Connect LLMScribe to any AI agent or MCP client with a single config block
Multiple interfaces: CLI, MCP, GUI, and a programmatic core, all sharing the same engine
Open source: Apache-2.0, self-hostable, and free forever

LLMScribe doesn't try to be the intelligence. It provides the data that intelligence needs.

Feature Overview

Core Tools

Feature	Description
Map	Generate a clean directory tree without dumping file contents
Search	Search file paths, file names, file contents, and individual lines
Read	Safely retrieve a specific file

More

Feature	Description
Read Many	Retrieve multiple files in a single operation
Dependencies	See what a file depends on and what depends on it
Diff	Inspect Git status and unified diffs
Overview	Export the complete structure and supported file contents

Quick Start

Install LLMScribe from PyPI:

pip install llmscribe

Then point it at any project directory, or (through the MCP tools) at a public GitHub repo. No API key needed.

The project_map(...), search(...), read(...) snippets below show MCP tool calls. The same operations are available from the CLI (local directories) and from Python through llmscribe.core (see Python API).

Map

Generate a clean directory tree without file contents. This is the best first step when exploring an unfamiliar repository.

project_map()

# or a public GitHub repo, no clone needed
project_map(repo="owner/repo")

CLI

llmscribe map
llmscribe map --json

MCP

project_map

Output:

src/
├── api/
│   ├── routes.py
│   └── auth.py
├── models/
│   └── user.py
└── main.py

Search

Search across file paths, file names, file contents, and individual lines. Search is intentionally deterministic: LLMScribe does not try to guess what you meant.

search(query="authentication")

# or a public GitHub repo
search(query="authentication", repo="owner/repo")

CLI

llmscribe search "authentication"
llmscribe search "authentication" --json

MCP

search

Output (--json, data.matches):

[
  {
    "file_path": "src/auth/service.py",
    "line_number": 12,
    "line_content": "def authenticate(user, password):",
    "match_type": "content",
    "matched_text": "authenticate"
  }
]

Read

Safely retrieve the contents of a specific file. LLMScribe validates paths and prevents path traversal outside the project.

read(file_path="src/auth/service.py")

# or a public GitHub repo
read(file_path="src/main.py", repo="owner/repo")

CLI

llmscribe read src/auth/service.py

MCP

read

path and repo are mutually exclusive. Use path for a local project and repo for a public GitHub repository.

Power Your Agent

Instead of throwing an entire repository into a context window, an agent can progressively retrieve exactly what it needs:

1. project_map()
      ↓
2. search("authentication")
      ↓
3. read("src/auth/service.py")
      ↓
4. project_dependencies("src/auth/service.py")
      ↓
5. read_many([...])

MCP

Connect any MCP-compatible client (Cursor, Claude, Windsurf, and more) to your repository.

Free hosted MCP. No installation required:

{
  "mcpServers": {
    "llmscribe": {
      "url": "https://llmscribe.onrender.com/mcp"
    }
  }
}

For clients that support custom remote connectors, simply provide the endpoint: https://llmscribe.onrender.com/mcp

The public endpoint is convenient for experimentation. For private code or production workloads, self-host LLMScribe instead.

Local MCP. Runs on your machine, over stdio:

{
  "mcpServers": {
    "llmscribe": {
      "command": "llmscribe-mcp"
    }
  }
}

{
  "mcpServers": {
    "llmscribe": {
      "command": "python",
      "args": ["-m", "llmscribe.mcp"]
    }
  }
}

Available tools

project_map
project_overview
search
read
read_many
project_dependencies
project_diff

More Tools

Read Many

Retrieve multiple files in a single operation. Partial success is supported, so one problematic file does not invalidate the entire request.

read_many([
    "src/auth/service.py",
    "src/auth/models.py",
    "src/api/login.py"
])

llmscribe read-many src/auth/service.py src/api/login.py

Dependencies

Inspect the dependency relationships around a file. LLMScribe identifies local dependencies, external dependencies, unresolved dependencies, and the files that depend on this file.

project_dependencies("src/auth/service.py")

llmscribe dependencies src/auth/service.py --json

Output:

src/auth/service.py
│
├── depends on
│   ├── auth/models.py
│   ├── auth/config.py
│   └── auth/utils.py
│
└── used by
    ├── api/login.py
    └── tests/test_auth.py

This is particularly useful when determining the potential impact of modifying a file.

Diff

Inspect repository changes using Git. Supports Git status, unstaged changes, staged changes, specific commits, and unified diffs.

llmscribe diff

This lets applications and agents understand not only the current repository, but also what changed.

Overview

Generate a complete project snapshot containing the directory structure, supported text file contents, and structured project information.

llmscribe overview

Best for small and medium-sized projects. For large repositories, use the recommended workflow instead:

map → search → read

CLI

Every command can return machine-readable JSON with --json, which makes the CLI a building block for scripts, automation, and developer tools.

llmscribe map
llmscribe overview
llmscribe search "authentication"
llmscribe read src/auth/service.py
llmscribe read-many src/auth/service.py src/api/login.py
llmscribe dependencies src/auth/service.py
llmscribe diff

# machine-readable output
llmscribe map --json
llmscribe search "auth" --json
llmscribe dependencies src/auth/service.py --json

Self-Hosting

Run your own HTTP MCP server for private repositories, teams, internal developer tools, and production applications.

Run locally

pip install llmscribe

MCP_TRANSPORT=http MCP_ALLOW_LOCAL_PATHS=1 llmscribe-mcp

The server will be available at http://localhost:8000/mcp, with GET /health and GET /info for monitoring.

Over HTTP the path argument is disabled by default so a hosted server does not expose its own disk. Set MCP_ALLOW_LOCAL_PATHS=1 to allow any local path (only on a machine you trust), or MCP_ALLOWED_ROOTS=/srv/a:/srv/b to allow specific directories. GitHub repositories (repo=) always work.

Docker

docker build -t llmscribe-mcp .

docker run -p 8000:8000 -e MCP_ALLOWED_HOSTS="localhost,localhost:*,mcp.example.com" llmscribe-mcp

The image runs python -m llmscribe.mcp with MCP_TRANSPORT=http, as an unprivileged user, and has a /health with a healthcheck.

Railway

railway up

Environment Variables

Variable	Description	Default
`MCP_TRANSPORT`	`stdio` or `http`	`stdio`
`HOST`	HTTP bind address	`0.0.0.0`
`PORT`	HTTP port	`8000`
`MCP_ALLOWED_HOSTS`	Accepted `Host` values for `/mcp` (comma-separated, `host:` for any port, `` for any). Default: loopback plus `RENDER_EXTERNAL_HOSTNAME` / `RAILWAY_PUBLIC_DOMAIN`	loopback
`MCP_ALLOWED_ORIGINS`	Accepted `Origin` values for `/mcp` (requests without an `Origin`, i.e. all non-browser clients, are always accepted). Default: loopback, `claude.ai`, the platform hostname; `*` allows any	see left
`MCP_ALLOW_LOCAL_PATHS`	`1` allows any local `path` over HTTP	off
`MCP_ALLOWED_ROOTS`	Directories (separated by `:` / `;`) allowed as `path` over HTTP	none
`GITHUB_TOKEN` / `GH_TOKEN`	Token for private repositories and higher rate limits (sent only to `api.github.com`)	none
`LLMSCRIBE_CACHE_MAX_ENTRIES`	GitHub snapshots kept in memory (`0` disables)	`8`
`LLMSCRIBE_CACHE_TTL_SECONDS`	Snapshot lifetime	`300`

Run a single process (the cache and MCP sessions live in memory). `PORT` without `MCP_TRANSPORT` still selects HTTP for backward compatibility, but set `MCP_TRANSPORT=http` explicitly.

Python API

from pathlib import Path
from llmscribe.core import project_map, search_project, read_file, read_files, analyze_dependencies, get_git_diff, LLMScribeError

root = Path(".")
print(project_map(root).tree)
print(search_project("auth", root).to_dict())
print(read_files(["README.md", "missing.py"], root).to_dict())   # per-file errors, never raises
try:
    analyze_dependencies("src/app.py", root)
except LLMScribeError as err:      # err.code is a stable machine-readable code
    print(err.code, err.message)

Behavior reference

Supported text files. Known source/config/doc extensions plus names such as Dockerfile, Makefile, LICENSE, .gitignore. Other files appear in the tree but cannot be read or searched.

Git diff (local). Runs git with an argument list, a 30 s timeout, a minimal environment, and without external diff/textconv drivers.

Migration notes

Legacy tool names (project_get_file, project_get_files, project_search, project_list_files) are gone; use read, read_many, search.
Error code path_traversal is now invalid_path; not_text_file is unsupported_file_type.
project_dependencies results: all_local_files/all_external_deps/all_unresolved were replaced by used_by and per-category lists (stdlib_dependencies added).
llmscribe.core functions raise LLMScribeError (not FileNotFoundError) for a bad root; the dependency-provider classes and llmscribe.github.provider helpers were removed.
Over HTTP, local path access now requires MCP_ALLOW_LOCAL_PATHS or MCP_ALLOWED_ROOTS.

Architecture

All interfaces share one core engine, so behavior stays consistent everywhere.

                         Repository
                             │
               ┌─────────────┴─────────────┐
               │                           │
          Local Project               GitHub Repo
               │                           │
               └─────────────┬─────────────┘
                             ▼
                     LLMScribe Core
                             │
       ┌─────────────────────┼─────────────────────┐
       │                     │                     │
       ▼                     ▼                     ▼
      CLI                   MCP                   GUI
       │                     │
       └──────────────┬──────┘
                      ▼
              Structured Output
                   / JSON

Philosophy

LLMScribe intentionally stays simple. The goal is not to make the repository "smarter." The goal is to make the repository accessible to software.

We provide

Repository extraction
Deterministic search
Structured project data
File retrieval
Dependency information
Git information
Multiple interfaces

We don't provide

❌ AI-generated answers
❌ Embedding-based search
❌ Semantic ranking
❌ Autonomous coding
❌ An AI coding agent
❌ A generic Git client

Use Cases

AI coding agents
MCP applications
Developer tools
Code search interfaces
Repository explorers
Documentation systems
Code analysis pipelines
Automation scripts
Local LLM applications
Exploring unfamiliar open-source projects

Open Source vs Hosted

LLMScribe is open source under the Apache License 2.0. Run it locally, inspect the source, modify it, self-host it, and build your own integrations.

The hosted MCP endpoint provides a convenient zero-install option for trying it out, while the open-source project gives you complete control.

Resources

Website: https://llmscribe.vercel.app
GitHub: https://github.com/AMRITO-KUNDU/llmscribe
PyPI: https://pypi.org/project/llmscribe/
Public MCP: https://llmscribe.onrender.com/mcp
Issues: https://github.com/AMRITO-KUNDU/llmscribe/issues
Contributing: https://github.com/AMRITO-KUNDU/llmscribe/blob/main/CONTRIBUTING.md

Contributing

License

LLMScribe is licensed under the Apache License 2.0. See the LICENSE file for details.

Repository data, structured.

↑ Back to top

Add this server

Host a copy with our keys and logs.

Related MCP

Related skills

LLMScribe

Why LLMScribe?

Feature Overview

Quick Start

Map

Search

Read

Power Your Agent

MCP

More Tools

Read Many

Dependencies

Diff

Overview

CLI

Self-Hosting

Run locally

Docker

Railway

Environment Variables

Run a single process (the cache and MCP sessions live in memory). PORT without MCP_TRANSPORT still selects HTTP for backward compatibility, but set MCP_TRANSPORT=http explicitly.

Python API

Behavior reference

Migration notes

Architecture

Philosophy

Use Cases

Open Source vs Hosted

Resources

Contributing

License

Add this server

Host a copy with our keys and logs.

Related MCP

Related skills

LLMScribe

Why LLMScribe?

Feature Overview

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Power Your Agent

MCP

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Dependencies

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Overview

CLI

Self-Hosting

Run locally

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Railway

Environment Variables

Run a single process (the cache and MCP sessions live in memory). PORT without MCP_TRANSPORT still selects HTTP for backward compatibility, but set MCP_TRANSPORT=http explicitly.

Python API

Behavior reference

Migration notes

Architecture

Philosophy

Use Cases

Open Source vs Hosted

Resources

Contributing

License

Run a single process (the cache and MCP sessions live in memory). `PORT` without `MCP_TRANSPORT` still selects HTTP for backward compatibility, but set `MCP_TRANSPORT=http` explicitly.

Run a single process (the cache and MCP sessions live in memory). `PORT` without `MCP_TRANSPORT` still selects HTTP for backward compatibility, but set `MCP_TRANSPORT=http` explicitly.