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)

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:

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:

• Getting Started Guide

• Hackathon Information

• Deployment Guide

• Examples

License

MIT