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Dedalus MCP Documentation Server

by kbhuw
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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

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Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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