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DocuMCP

DocuMCP

Public
YannickTM/docu-mcp

An MCP server for intelligent code documentation generation and management with semantic search, vector embeddings, and support for multiple vector databases and embedding providers, enabling creation of user guides, technical docs, code explanations, and architectural diagrams.

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0 tools
May 29, 2025
Updated Jun 4, 2025

Supercharge Your AI with DocuMCP

MCP Server

Unlock the full potential of DocuMCP through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

Unified API Access
Complete Tracing
Instant Setup
Get Started Now

Free tier available ā€¢ No credit card required

Instant Setup
99.9% Uptime
10,000+Monthly Requests
Configuration Requirements
none
Configure authentication and required variables to access this MCP server
Required Environment Variables
QDRANT_URL
Optional
string

The URL of the Qdrant server

Default: http://localhost:6333
EMBEDDING_MODEL
Optional
string

The embedding model to use

Default: all-MiniLM-L6-v2
CHROMA_URL
Optional
string

The URL of the ChromaDB server

Default: http://localhost:8000
OLLAMA_URL
Optional
string

The URL of the Ollama server

Default: http://localhost:11434
VECTOR_DB_PROVIDER
Optional
string

The vector database provider to use (lance, chroma, or qdrant)

Default: lance
LANCE_PATH
Optional
string

The path to store LanceDB data

Default: ~/lanceDB
EMBEDDING_DIMENSION
Optional
string

The dimension of embeddings generated by the model

Default: 384
EMBEDDING_PROVIDER
Optional
string

The embedding provider to use (buildin or ollama)

Default: buildin

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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