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M MCP Servers Developer low

madhan-g-p/DevDocs-MCP

by Various

Documentation Authority for AI Agents based upon Devdocs

M

MCP

madhan-g-p/DevDocs-MCP

Added 1 June 2026

#ai-agents #devdocs #mcp-server

Overview

An MCP server that provides AI agents with authoritative documentation from DevDocs. It allows agents to query and retrieve documentation for a wide range of programming languages and frameworks.

Best for

Best for
Developers building AI agents that need reliable, up-to-date documentation lookups

Use cases

  • Enable AI coding assistants to fetch accurate API docs on demand
  • Integrate DevDocs content into agent workflows for context-aware help
  • Reduce hallucination by grounding agent responses in official documentation

How to use

Install

pnpm install && pnpm build && pnpm start:prod

Tools exposed

  • DEVDOCS_DATA_PATH
  • MCP_DB_PATH
  • LOG_LEVEL
  • pnpm

Tested with

RooCode, Cline, Claude Desktop, Copilot

Example client config

[object Object]

Notes

An MCP server that provides AI agents with authoritative documentation from DevDocs. It allows agents to query and retrieve documentation for a wide range of programming languages and frameworks.

11 stars on GitHub. Last updated 2026-05-10.

Use cases

  • Enable AI coding assistants to fetch accurate API docs on demand
  • Integrate DevDocs content into agent workflows for context-aware help
  • Reduce hallucination by grounding agent responses in official documentation

Pros

  • Leverages the comprehensive DevDocs library of documentation
  • Simple MCP interface for easy integration with agent frameworks
  • Open source and free to use

Cons

  • Limited to documentation available on DevDocs
  • Requires network access to fetch documentation
  • Small community and low star count may indicate limited support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages the comprehensive DevDocs library of documentation
  • Simple MCP interface for easy integration with agent frameworks
  • Open source and free to use

Cons

  • Limited to documentation available on DevDocs
  • Requires network access to fetch documentation
  • Small community and low star count may indicate limited support
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