ai-mldeveloper-tools

DocuMCP (RAG Documentation Server)

by yannicktm

DocuMCP: RAG documentation server with on-prem semantic search for code, docs, and diagrams — integrates vector DBs with

RAG-enabled documentation server that integrates with vector databases to provide semantic search capabilities for code, documentation, and diagrams without data leaving your environment.

github stars

6

Data stays in your environmentMulti-agent orchestration for scaleMultiple vector database options

best for

  • / Developers maintaining large codebases
  • / Teams needing automated documentation workflows
  • / Enterprise applications requiring comprehensive docs
  • / Projects wanting semantic code search capabilities

capabilities

  • / Generate documentation from codebases automatically
  • / Search code and docs using semantic similarity
  • / Create and merge architectural diagrams
  • / Spawn multiple Claude agents for parallel processing
  • / Store embeddings in vector databases locally
  • / Track documentation generation costs and metrics

what it does

Generates intelligent documentation for codebases using RAG and semantic search, with optional multi-agent orchestration for large-scale documentation workflows.

about

DocuMCP (RAG Documentation Server) is a community-built MCP server published by yannicktm that provides AI assistants with tools and capabilities via the Model Context Protocol. DocuMCP: RAG documentation server with on-prem semantic search for code, docs, and diagrams — integrates vector DBs with It is categorized under ai ml, developer tools.

how to install

You can install DocuMCP (RAG Documentation Server) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

DocuMCP (RAG Documentation Server) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

DocuMCP

🤖 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

  • 📚 Generate and update documentation based on your codebase
  • 🔍 Semantic search across code, documentation, and diagrams
  • 📊 Create and merge architectural diagrams
  • 📝 Generate user guides
  • 💾 Support for multiple vector databases (LanceDB, ChromaDB, Qdrant)
  • 🧠 Flexible embedding providers (built-in or Ollama)

Multi-Agent Orchestration (Manager Server)

  • 🤖 Spawn multiple Claude Code sub-agents for parallel processing
  • 📊 Monitor agent status and retrieve results
  • 🔄 Shared vector database across all agents
  • ⚡ Scale documentation generation for large codebases
  • 💰 Track costs and performance metrics

🚀 Quick Start

Installation via NPX (Recommended)

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

🚀 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.

🛠️ Configuration Options

Vector Database Providers

ProviderDescriptionConfiguration
LanceDBFile-based local database (default)VECTOR_DB_PROVIDER=lance<br/>LANCE_PATH=~/lanceDB
ChromaDBSimple vector database with web UIVECTOR_DB_PROVIDER=chroma<br/>CHROMA_URL=http://localhost:8000
QdrantProduction-grade vector databaseVECTOR_DB_PROVIDER=qdrant<br/>QDRANT_URL=http://localhost:6333

Embedding Providers

ProviderDescriptionConfiguration
Built-inUses all-MiniLM-L6-v2 model (default)EMBEDDING_PROVIDER=buildin<br/>EMBEDDING_MODEL=all-MiniLM-L6-v2<br/>EMBEDDING_DIMENSION=384
OllamaUse any Ollama modelEMBEDDING_PROVIDER=ollama<br/>EMBEDDING_MODEL=bge-m3:latest<br/>EMBEDDING_DIMENSION=1024<br/>OLLAMA_URL=http://localhost:11434

🔧 Available Tools

DocuMCP Server Tools

  • 📁 File Operations: read_file, write_file, create_directory, read_directory
  • 🔎 Search Tools: search_codebase, search_documentation, search_diagram, search_user_guide
  • 📚 Documentation: generate_documentation, generate_user_guide, explain_code
  • 📊 Diagrams: generate_diagram, merge_diagram
  • 🗃️ Indexing: index_file, index_directory
  • 🔀 Merging: merge_documentation

DocuMCP Manager Tools (includes all above plus):

  • 🤖 Agent Orchestration:
    • spawn_agent: Create Claude Code sub-agents for documentation tasks
    • manage_agent: Monitor, control, and retrieve results from agents

📋 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.


Made with ❤️

FAQ

What is the DocuMCP (RAG Documentation Server) MCP server?
DocuMCP (RAG Documentation Server) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for DocuMCP (RAG Documentation Server)?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    DocuMCP (RAG Documentation Server) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated DocuMCP (RAG Documentation Server) against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: DocuMCP (RAG Documentation Server) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    DocuMCP (RAG Documentation Server) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend DocuMCP (RAG Documentation Server) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: DocuMCP (RAG Documentation Server) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    DocuMCP (RAG Documentation Server) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, DocuMCP (RAG Documentation Server) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired DocuMCP (RAG Documentation Server) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    DocuMCP (RAG Documentation Server) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.