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Dedalus MCP Documentation Server

Dedalus MCP Documentation Server

by kbhuw
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Dedalus MCP Documentation Server

An MCP server for serving and querying documentation with AI capabilities. Built for the YC Agents Hackathon.

Quick Start (Local Development)

# Install uv package manager (same as Dedalus uses)
brew install uv  # or pip install uv

# Install dependencies
uv sync --no-dev

# Configure API keys for AI features
cp config/.env.example .env.local
# Edit .env.local and add your OpenAI API key

# Test
uv run python tests/test_server.py

# Run
uv run main

Related MCP server: Dedalus MCP Documentation Server

Deploy to Dedalus

What Dedalus Needs

  • pyproject.toml - Package configuration with dependencies

  • main.py (root) - Entry point that Dedalus expects

  • src/main.py - The actual MCP server code

  • docs/ - Your documentation files

Deployment Steps

  1. Set Environment Variables in Dedalus UI:

    • OPENAI_API_KEY - Your OpenAI API key (required for AI features)

  2. Deploy:

dedalus deploy . --name "your-docs-server"

How Dedalus Runs Your Server

  1. Installs dependencies using uv sync from pyproject.toml

  2. Runs uv run main to start the server

  3. Server runs in /app directory in container

  4. Docs are served from /app/docs

Features

  • Serve markdown documentation

  • Search across docs

  • AI-powered Q&A (with OpenAI)

  • Rate limiting (10 requests/minute) to protect API keys

  • Ready for agent handoffs

Tools Available

  • list_docs() - List documentation files

  • search_docs() - Search with keywords

  • ask_docs() - AI answers from docs

  • index_docs() - Index documents

  • analyze_docs() - Analyze for tasks

Documentation

See docs/ directory for:

License

MIT

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    Resources

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