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Product Cli

I
by io.github.Hafeok

Knowledge graph CLI for managing features, ADRs, and test criteria as MCP-discoverable artifacts.

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Add this server

The publisher's own command. Not a PlugMCP endpoint.

Local command
mcpb https://github.com/Hafeok/product-cli/releases/download/v0.2.0/product-cli-x86_64-unknown-linux-gnu.tar.xz?source=mcp-registry
Provider
Claude Code
claude mcp add io.github.hafeok-product-cli -- mcpb https://github.com/Hafeok/product-cli/releases/download/v0.2.0/product-cli-x86_64-unknown-linux-gnu.tar.xz?source=mcp-registry

Run in a terminal.

Claude Desktop
{
  "mcpServers": {
    "io.github.hafeok-product-cli": {
      "command": "mcpb",
      "args": [
        "https://github.com/Hafeok/product-cli/releases/download/v0.2.0/product-cli-x86_64-unknown-linux-gnu.tar.xz?source=mcp-registry"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

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

Run on PlugMCP

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.

Launch

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Knowledge graph CLI for managing features, ADRs, and test criteria as MCP-discoverable artifacts.

Product

A CLI and MCP server for the Product Framework — specify software as a verifiable What/How graph.

The Product Framework is an open standard for describing a software product as one connected, machine-readable graph: the What (domain model + event model — entities, commands, events, read models, UI steps typed against Abstract Interaction Objects, systems, triggers, Deciders, Projectors), the How (contracts, the screen-composition / reification model, delivery features), and the typed links between them. The graph can drive generation, gate verification, and explain itself — so "describe this system" is a query, not a stale document.

This repo is the reference tooling: a single Rust binary (product) plus an MCP server that lets an agent author and verify the graph directly. No database, no service — the graph lives as YAML/Turtle under .product/.

$ product init --demo                 # scaffold + seed the bookstore What model
$ product domain new system sys-shop --system-kind application \
      --purpose "consumer e-commerce" --target-classes gui
$ product domain validate --strict    # per-node shapes + graph-level completeness
$ product decider derive Order        # derive an aggregate's executable signature
$ product decider validate Order-decider
$ product mcp --http                  # MCP server + a live Event-Modeling web view at /

Install

# from source
cargo install --path product-cli

The binary ships with the What→How→Build Claude Code skills baked in. product init writes them into .claude/skills/ of the new repo (pass --no-skills to opt out); product skills install (re)installs them, and product skills install --global puts them in ~/.claude/skills/ for every project. Start a fresh Claude Code session to pick them up, then /product-session.

Choosing the agent CLI

product session start (and product author domain) host the What→How→Build session in an agent CLI — Claude Code or GitHub Copilot CLI. The CLI is resolved in this order:

  1. the --cli claude|copilot flag, else
  2. the repo's [author].cli in .product/config.toml, else
  3. the global user default in $XDG_CONFIG_HOME/product/config.toml (or ~/.config/product/config.toml), else
  4. claude.
# .product/config.toml — make this repo default to Copilot CLI
[author]
cli = "copilot"

Scaffold it on a new repo with product init --cli copilot, or set a personal default for every repo by putting the same [author] block in ~/.config/product/config.toml. With a default configured, product session start needs no --cli flag.

60-second tour

product init --demo                   # a worked What model to explore
product domain list                   # the captured nodes, by kind
product domain show Order             # one node and its links
product domain export                 # the graph as RDF/Turtle
product domain validate               # §3.1/§3.2 per-node conformance shapes
product domain validate --strict      # + §3.2.0/§3.2.5/§3.4/§4.5 completeness checks
product decider derive Order          # §3.3 — derive decide/evolve signature
product decider simulate Order-decider  # run its flow-derived scenarios
product guide                         # where you are + the next step

The model

  • What — product domain … captures the domain + event model; product decider … (§3.3) and product projector … (§3.4) make behaviour and read models executable; product primitive … (§3.5) names irreducible algorithms.
  • How — product how, product feature, product build, product seam, product preview cover the How contract, delivery features, the screen seam, and the §11/§12 design-system / content-store preview profiles.
  • Everything is validated against the framework's SHACL shapes + SPARQL rules; the captured What serializes to Turtle (product domain export).

MCP + the web view

product mcp --http starts the MCP server (framework tools: product_domain_*, product_decider_*, product_projector_*, …) and serves a live web view at / that renders the active What graph across three connected views — Systems (the product → systems & journeys map, §3.0), Domain (one bounded context as an ER graph, §3.1), and Flows (a system's event-model as Event-Modeling swimlanes — triggers / commands / views over per-aggregate event streams, §3.2). A node detail panel, the What→How→Build phase stepper, dark/light theme and live SSE refresh round it out.

ddd — Decision-Driven Design governance

The workspace also ships ddd (crates ddd-core, ddd-lsp, ddd-mcp, ddd-cli), a separate tool over a separate store: a repo-local .ddd/ graph of predicates, closure claims, decisions, analyzer/linter manifests, pattern instances, seam declarations, and interception event rows (spec, umbrella PRD, formats: migrations).

cargo run -p ddd-cli -- init        # scaffold .ddd/
ddd validate                        # schema + ontology rules (CI gate)
ddd diff --sarif build.sarif        # declared vs. detected rules (CI gate)
ddd report escapes                  # diff + cadence + basis-loss report, each section stating its coverage
ddd why CA2007                      # rule -> decision -> principal -> claims (or: detected but unfiled)
ddd render                          # static self-contained HTML projection of the graph
ddd serve                           # the ddd_* MCP surface (stdio)
ddd warmup                          # pre-load the LSP hosts (Roslyn solution load)
ddd what                            # What-graph boundaries carrying no declaration

Governing the What (the framework graph)

ddd what treats the .product/ What graph as a third governed surface alongside C# and Bicep. It needs no language server: product-core already owns the What as typed data, so the adapter reads kinds and containers straight off DomainGraph and runs them through the same policy-table mechanism (ddd-core/src/surface.rs, shared with the LSP adapters).

Two kinds of row. Boundary kinds are surface whatever they connect to: a system (§3.2.5), a context mapping (§3.1), a journey crossing (§3.0.1), a quality demand (§3.6). Published kinds are surface only when a §3.2.0 Translation carries them — the View a Translation watches, the Command it issues, and the Events that View projects. Everything else is internal to its own system and never demands a declaration.

That published/internal split is the What's analogue of C# visibility, and it is load-bearing: the first table called every event and command a boundary, which the measurement in DDD-what-02 killed (0 of 39 crossed anything). See dec/ddd/what-published-qualifier.

A boundary counts as governed when a seam declaration's contract_location is what:<element-id>. --strict turns it into a CI gate; the default reports without failing, so the table can be calibrated against a real graph first.

MCP surface (M3/M4)

ddd serve exposes the ddd_* tool namespace over stdio: LSP-backed language intelligence for C# (roslyn-language-server --stdio --autoLoadProjects, the official prerelease .NET global tool) and Bicep (bicep-ls from Azure.Bicep.LangServer) — find_symbol, references, hover, diagnostics (joined to the manifests by rule id, the same join the SARIF path uses), signature, rename (computes; application funnels through the interceptor) — plus the governance tools why, graph_query, declare_seam, declare_pattern, accept_risk.

The three declare/accept tools take amend: true to revise an entry already filed. The flag is explicit in both directions — a create never silently overwrites, an amend never silently creates — and the split is by field: judgement amends (verdict_knowledge, obligation answers, rationale), while identity and LSP-derived evidence (contract_location, metadata) are carried forward untouched, so the interception rows stay machine-authored.

ddd_apply_edit runs every edit through the per-language contract-surface classifier (policy tables, PRD §9): non-surface edits apply; a surface edit applies only with a matching same-session declaration; otherwise it is rejected with a structured demand whose facts (symbol, kind, signature, visibility, reference count) are pre-filled and whose judgment fields are blank (dec/ddd/rejection-facts-prefilled). Modes: intercept: enforce | warn | off, per artifact class via intercept_by_class (config format 3); adapter.csharp.internal_is_surface flips the library-repo posture (dec/ddd/internal-not-surface). Every classified surface outcome lands as a row under .ddd/seams/events/ — the correspondence dataset. Hosts are spawned lazily, health-checked, and respawned on crash; while Roslyn loads the solution, tools return an explicit {"status": "loading"} rather than hanging. CI runs against a fixture-grade mock host (dec/ddd/fixtures-not-sdk); set DDD_LSP_E2E=1 with both tools on PATH to run the gated real-host suites.

ddd diff compares the manifests under .ddd/manifest/ against two detected sources per language and reports UNGOVERNED (detected, no manifest entry), STALE (manifest entry, absent from config and emissions), and UNCITED_SUPPRESSION (a config or in-source suppression with no risk-acceptance record):

  • configured — parsed from .editorconfig (dotnet_diagnostic.<ID>.severity lines only; section globs are recorded, never evaluated — deliberately not an editorconfig engine), bicepconfig.json (analyzers.core.rules levels), and the root Cargo.toml ([workspace.lints.clippy], for this repo's own gates). Rules enabled by analyzer-package defaults have no config line and surface via the emitted source only — diff says so when one source covers a rule.

  • emitted — SARIF 2.1 files from real builds, ingested by one shared module. Produce them with (verified against current tool docs at M2):

    • C#: dotnet build -p:ErrorLog=diag.sarif%2Cversion=2.1 — the MSBuild ErrorLog property; version=2.1 is required (the default is SARIF 1.0), and %2C escapes the comma on the CLI (or set <ErrorLog> in the project).
    • Bicep: bicep lint main.bicep --diagnostics-format sarif > bicep.sarif (also available as az bicep lint).

    In-source suppressions differ per toolchain: the C# compiler still logs a #pragma-suppressed diagnostic into SARIF (marked suppressed), which is how UNCITED_SUPPRESSION sees it; Bicep's #disable-next-line removes the diagnostic from the output entirely, so Bicep source suppressions are invisible to detection — only level: off config suppressions are covered.

Point ddd diff at the files with --sarif or the detect.sarif list in .ddd/config.yaml. This repo governs itself: .ddd/manifest/clippy.yaml maps clippy::unwrap_used to its decision, and ddd diff verifies it against the workspace lints table.

Build & test

cargo build
cargo t                                          # full suite (alias: test --no-fail-fast)
cargo clippy -- -D warnings -D clippy::unwrap_used

See CLAUDE.md for the architecture and contributor workflow, and docs/product-framework-open.md for the spec.

License

See LICENSE.

How do I install Product Cli?
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 Product Cli need an API key?
No required environment variable is listed on this record.
What transport does Product Cli use?
Product Cli runs locally over stdio.
When was Product Cli last checked?
Last checked 2026-10-16. Knowledge graph CLI for managing features, ADRs, and test criteria as MCP-discoverable artifacts.

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

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