What Census data endpoints are available?
The server exposes the `census/get` tool. It retrieves data from the US Census Bureau API, but the README does not list specific Census endpoints or datasets.
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Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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MCP Census Server is a Model Context Protocol (MCP) server that provides access to US Census Bureau data. It implements JSON-RPC 2.0 over HTTP, uses API key authentication, and offers a single tool (census/get) for retrieving census data. The server is designed for developers who want to integrate Census Bureau data into MCP-compatible applications or AI agents.
Clone the repository, install dependencies (pip install -r requirements.txt), set your Census API key and server API key in a .env file, then start the server with uvicorn app:app --host 0.0.0.0 --port 8000. Send JSON-RPC POST requests to http://localhost:8000/ with the X-API-Key header. The server supports the MCP methods initialize, notifications/initialized, tools/list, and tools/call.
X-API-Key header/health)/docs)The server exposes the `census/get` tool. It retrieves data from the US Census Bureau API, but the README does not list specific Census endpoints or datasets.
Requests must include the `X-API-Key` header with your server API key (set in `SERVER_API_KEY` environment variable). Additionally, a valid Census API key must be set in the `CENSUS_API_KEY` environment variable.
Python 3, the dependencies in `requirements.txt`, and a `.env` file with the required API keys. The server runs via `uvicorn`.
Yes, Census API responses are cached with a time-to-live (TTL) of 5 minutes.
Yes, the repository contains a Next.js-based MCP client in the `client/` directory that can interact with this server.
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