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DocuMCP

πŸ€– A comprehensive MCP system for intelligent code documentation generation with RAG capabilities and multi-agent orchestration

DocuMCP consists of two complementary MCP servers:

  1. DocuMCP Server: Core documentation generation with vector embeddings and semantic search

  2. DocuMCP Manager: Agent orchestration for parallel documentation workflows using multiple Claude Code sub-agents

Together, they enable Claude to generate, search, and manage documentation for your codebase at any scale, from single files to entire enterprise applications.

✨ Features

Core Documentation Features

  • πŸ“š Generate and update documentation based on your codebase

  • πŸ” Semantic search across code, documentation, and diagrams

  • πŸ“Š Create and merge architectural diagrams

  • πŸ“ Generate user guides

  • πŸ’Ύ Support for multiple vector databases (LanceDB, ChromaDB, Qdrant)

  • 🧠 Flexible embedding providers (built-in or Ollama)

Multi-Agent Orchestration (Manager Server)

  • πŸ€– Spawn multiple Claude Code sub-agents for parallel processing

  • πŸ“Š Monitor agent status and retrieve results

  • πŸ”„ Shared vector database across all agents

  • ⚑ Scale documentation generation for large codebases

  • πŸ’° Track costs and performance metrics

Related MCP server: Claude AI Documentation Assistant

πŸš€ Quick Start

The easiest way to use DocuMCP is to configure Claude Desktop with the published npm package:

Add the following to your Claude Desktop configuration:

  • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%/Claude/claude_desktop_config.json

For Core DocuMCP Server:

{ "mcpServers": { "docu-mcp": { "command": "npx", "args": ["-y", "@myjungle/docu-mcp-server"] } } }

For DocuMCP Manager (Agent Orchestration):

{ "mcpServers": { "docu-mcp-manager": { "command": "npx", "args": ["-y", "@myjungle/docu-mcp-manager"] } } }

Restart Claude Desktop and both servers will be available.

Alternative Installation Methods

Using Smithery CLI

Install the server via Smithery CLI:

# Install Smithery CLI if you don't have it npm install -g @smithery/cli # Then install the Docu MCP server npx -y @smithery/cli@latest install @YannickTM/docu-mcp --client claude

πŸš€ Manual Start

1. Clone and Install

git clone https://github.com/YannickTM/docu-mcp cd docu-mcp npm install

2. Build the Servers

# Build DocuMCP Server cd mcp npm run build cd .. # Build DocuMCP Manager cd manager npm run build cd ..

3. Advanced Configuration

Add the following to your Claude Desktop configuration:

  • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%/Claude/claude_desktop_config.json

Configuration for Both Servers:

{ "mcpServers": { "docu-mcp": { "command": "node", "env": { "VECTOR_DB_PROVIDER": "qdrant", "QDRANT_URL": "http://localhost:6333", "EMBEDDING_PROVIDER": "ollama", "EMBEDDING_MODEL": "bge-m3:latest", "EMBEDDING_DIMENSION": "1024", "OLLAMA_URL": "http://localhost:11434" }, "args": ["/absolute/path/to/DocuMCP/mcp/dist/index.js"] }, "docu-mcp-manager": { "command": "node", "env": { "VECTOR_DB_PROVIDER": "qdrant", "QDRANT_URL": "http://localhost:6333", "EMBEDDING_PROVIDER": "ollama", "EMBEDDING_MODEL": "bge-m3:latest", "EMBEDDING_DIMENSION": "1024", "OLLAMA_URL": "http://localhost:11434", "SUB_AGENT_MODEL": "claude-3-7-sonnet-latest" }, "args": ["/absolute/path/to/DocuMCP/manager/dist/index.js"] } } }

Important: Both servers should use the same vector database configuration to enable shared access.

4. Start Required Services (if using external providers)

For Qdrant:

cd qdrant npm run start

For ChromaDB:

cd chromadb npm run start

5. Restart Claude Desktop

Restart Claude Desktop to load the new configuration.

πŸ› οΈ Configuration Options

Vector Database Providers

Provider

Description

Configuration

LanceDB

File-based local database (default)

VECTOR_DB_PROVIDER=lance

LANCE_PATH=~/lanceDB

ChromaDB

Simple vector database with web UI

VECTOR_DB_PROVIDER=chroma

CHROMA_URL=http://localhost:8000

Qdrant

Production-grade vector database

VECTOR_DB_PROVIDER=qdrant

QDRANT_URL=http://localhost:6333

Embedding Providers

Provider

Description

Configuration

Built-in

Uses all-MiniLM-L6-v2 model (default)

EMBEDDING_PROVIDER=buildin

EMBEDDING_MODEL=all-MiniLM-L6-v2

EMBEDDING_DIMENSION=384

Ollama

Use any Ollama model

EMBEDDING_PROVIDER=ollama

EMBEDDING_MODEL=bge-m3:latest

EMBEDDING_DIMENSION=1024

OLLAMA_URL=http://localhost:11434

πŸ”§ Available Tools

DocuMCP Server Tools

  • πŸ“ File Operations: read_file, write_file, create_directory, read_directory

  • πŸ”Ž Search Tools: search_codebase, search_documentation, search_diagram, search_user_guide

  • πŸ“š Documentation: generate_documentation, generate_user_guide, explain_code

  • πŸ“Š Diagrams: generate_diagram, merge_diagram

  • πŸ—ƒοΈ Indexing: index_file, index_directory

  • πŸ”€ Merging: merge_documentation

DocuMCP Manager Tools (includes all above plus):

  • πŸ€– Agent Orchestration:

    • spawn_agent: Create Claude Code sub-agents for documentation tasks

    • manage_agent: Monitor, control, and retrieve results from agents

πŸ“‹ Requirements

  • Node.js 20.11.24+

  • Claude Desktop

  • (Optional) Docker for running external vector databases

🀝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.


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