✅ MCP Server Setup Complete!

✅ MCP Server Setup Complete!

What We Built

A working MCP (Model Context Protocol) server that gives AI assistants direct access to Census Bureau APIs.

✅ What’s Done

  • MCP server code created (server.py)
  • Census API client with rate limiting (census_client.py)
  • Dependencies installed
  • API key configured (in .env)
  • Client tested and working ✅
  • Server code verified
  • Documentation created

📁 Files Created

mcp-servers/government-data/
├── server.py              ✅ Main MCP server
├── census_client.py       ✅ API client
├── test_client.py         ✅ Test script
├── requirements.txt       ✅ Dependencies
├── .env                   ✅ API key (configured)
├── README.md              ✅ Full documentation
├── SETUP.md               ✅ Detailed setup guide
├── CURSOR_SETUP.md        ✅ Cursor configuration
├── QUICK_START.md         ✅ Quick reference
└── .gitignore             ✅ Ignores .env

🎯 Next Step: Configure Cursor

See CURSOR_SETUP.md for detailed instructions!

Once configured, you can ask me:

  • “Fetch business startup data for 2023”
  • “Create a stats page about job creation”
  • “Get population data for California”

And I’ll automatically:

  1. Call the MCP tools
  2. Get real data from Census APIs
  3. Create content with that data

🧪 Test It

cd /Users/nickjackolaisen/Documents/GitHub/BI/mcp-servers/government-data
python3 test_client.py

Should see: ✅ Test complete! Client is working.

🎉 You’re Ready!

The MCP server is built and tested. Just configure Cursor and you’re good to go!