mcp-graph-workflow

mcp
SUMMARY

MCP local-first CLI tool that converts PRD text files into persistent execution graphs (SQLite) for structured agentic workflows

README.md

@mcp-graph-workflow/mcp-graph

CI
npm version
Node.js
License: MIT
TypeScript
PRs Welcome
npm downloads
GitHub stars
GitHub forks

Automate project planning from PRD to execution. Local-first CLI that converts product requirement documents into structured task graphs with AI-powered context, semantic search, and multi-agent orchestration.

mcp-graph dashboard — task graph view

Quick Start

GitHub Copilot (VS Code)

Create .vscode/mcp.json in your project:

{
  "servers": {
    "mcp-graph": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@mcp-graph-workflow/mcp-graph"]
    }
  }
}

Enable Agent Mode in Copilot Chat, then use the tools: init → import_prd → next → context → update_status

Claude Code / Cursor / IntelliJ

Add to .mcp.json:

{
  "mcpServers": {
    "mcp-graph": {
      "command": "npx",
      "args": ["-y", "@mcp-graph-workflow/mcp-graph"]
    }
  }
}

Windsurf / Zed / Other MCP Clients

Use stdio transport with:

npx -y @mcp-graph-workflow/mcp-graph

From Source

git clone <repo-url> && cd mcp-graph-workflow
npm install && npm run build
npm run dev        # HTTP + dashboard at localhost:3000

For detailed setup, see Getting Started.

Features

  • PRD → Task Graph — Import .md, .txt, .pdf, or .html documents and auto-generate hierarchical task trees
  • AI-Optimized Context — 70-85% token reduction with tiered compression (summary/standard/deep)
  • Smart Task Routingnext suggests the best task based on priority, dependencies, and blockers
  • Semantic Search + RAG — Full-text BM25 search + TF-IDF embeddings, 100% local
  • Sprint Planning — Velocity metrics, capacity-based planning, risk assessment
  • Web Dashboard — Interactive graph visualization, backlog tracking, code intelligence, insights
  • Multi-Agent Mesh — Serena + GitNexus + Context7 + Playwright coordinated via event bus, with phase-aware MCP suggestions
  • Environment Doctormcp-graph doctor validates Node.js, SQLite, permissions, integrations, and suggests fixes
  • Local-First — SQLite persistence, zero external dependencies, cross-platform

Who is this for?

Persona Use Case
AI Engineers Structured agentic workflows with token-efficient context
Tech Leads PRD decomposition into trackable, dependency-aware task graphs
Solo Developers Project planning with AI-powered suggestions and progress tracking
Teams using Copilot/Claude/Cursor MCP-native tool integration for AI-assisted development

Dashboard

6 tabs: Graph (interactive diagram + filters) · PRD & Backlog (progress tracking) · GitNexus (code intelligence) · Serena (code memories) · Insights (bottlenecks + metrics) · Benchmark (token economy)

mcp-graph dashboard — PRD & Backlog view

mcp-graph dashboard — Insights view

mcp-graph dashboard — Benchmark token economy

mcp-graph serve --port 3000    # or: npm run dev

Tools & API

Count Reference
MCP Tools 45 + 6 deprecated MCP-TOOLS-REFERENCE.md
REST Endpoints 135 (26 routers) REST-API-REFERENCE.md

| CLI Commands | 6 | init, import, index, stats, serve, doctor |

Integrations

Integration Role
Code Intelligence Native LSP-based code analysis, symbol navigation, multi-language
Context7 Up-to-date library documentation fetching
Playwright Browser-based task validation and A/B testing

Native systems: Code Intelligence (code analysis), Native Memories (project knowledge). See INTEGRATIONS-GUIDE.md.

Testing

4200+ tests across 390 Vitest files + Playwright E2E specs.

npm test            # Unit + integration
npm run test:e2e    # Browser E2E (Playwright)
npm run test:all    # Everything

Documentation

Document Description
Getting Started Step-by-step guide for new users
Architecture System layers, modules, data flows
MCP Tools Reference 46 tools + 6 deprecated, full parameters
REST API Reference 19 routers, 59 endpoints
Knowledge Pipeline RAG, embeddings, context assembly
Integrations Code Intelligence, Context7, Playwright
Test Guide Test pyramid and best practices
PRD Writing Guide How to write PRDs that import correctly
Lifecycle 8-phase dev methodology

Support the Project

If this tool is useful to you, consider supporting its development:

  • Star this repo — it helps others discover the project
  • Share — tell your team, post on X/LinkedIn, write about it
  • Contribute — see CONTRIBUTING.md. TDD is mandatory — write the failing test first
  • SponsorGitHub Sponsors

Star History Chart

License

MIT

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