MCP Docs Server: AI assistant context for GAIA development

[kovtcharov]

Summary

Create an MCP Documentation Server that gives AI coding assistants (Claude Code, Cursor, GitHub Copilot, VSCode) intelligent access to GAIA SDK documentation.

Goal: Make AI assistants expert GAIA developers out of the box.

The Problem

When developers use AI coding assistants to build GAIA agents, the AI lacks context about:

• SDK patterns and best practices
• Available tools, mixins, and base classes
• Correct usage examples
• Version-specific APIs

Current workarounds:

Approach	Limitation
Web fetch	Slow, one page at a time, requires network
Static CLAUDE.md	Gets outdated, limited coverage
Copy-paste docs	Manual, context window bloat

The Solution

An MCP server that exposes GAIA documentation as tools that AI assistants can call:

gaia mcp docs start

Key Features

• Semantic search - Find relevant docs across all pages with natural language queries
• Code examples on demand - Get working snippets for any SDK pattern
• Version aware - Returns docs matching installed GAIA version
• Works everywhere - Claude Code, VSCode, Cursor, and any MCP-compatible client

MCP Tools

Tool	Description
search_docs	Semantic search across all GAIA documentation
get_page	Retrieve full content of a specific doc page
get_code_example	Get working code for patterns like basic-agent, mcp-agent, rag-query
list_components	List available agents, mixins, tools, and SDKs

Usage

Start the server:

gaia mcp docs start

Claude Code config:

{
  "mcpServers": {
    "gaia-docs": {
      "command": "gaia",
      "args": ["mcp", "docs", "start"]
    }
  }
}

Success Metrics

Metric	Target
Search latency	< 100ms
Index build time	< 30 seconds
Query relevance (top-3 hit rate)	> 80%

Resources

• Detailed Plan
• Roadmap
• MCP Integration Guide

---

Vote with 👍 to show your interest and help us prioritize!