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# Goatcounter MCP Server [](https://smithery.ai/server/@rafaljanicki/goatcounter-mcp-server) ## Overview This project provides a Model Context Protocol (MCP) server for interacting with the [Goatcounter](https://www.goatcounter.com/) web analytics API. It allows language models or other MCP clients to easily query Goatcounter statistics and information using a standardized tool interface. The server is built using Python and the [FastMCP](https://github.com/metr/fastmcp) library. It reads your Goatcounter site code and API key from environment variables for authentication. ## Features * Provides tools for most Goatcounter API endpoints. * Handles API key and site code configuration via environment variables (`GOATCOUNTER_API_KEY`, `GOATCOUNTER_CODE`). * Lazy initialization of the API client: Tools can be listed even if API credentials are not yet configured. * **Rate Limit Handling**: Implements automatic retries with backoff when encountering API rate limits (HTTP 429). * Prioritizes the `X-Rate-Limit-Reset` header for waiting if provided by the API. * Falls back to exponential backoff (starting at 1 second) with random jitter if the header is unavailable or invalid. * Retries up to 5 times before failing. * Runs directly using the `fastmcp` command-line tool. ## Installation ### Option 1: Installing via Smithery (Recommended) To install X (Twitter) MCP server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/goatcounter-mcp-server): ```bash npx -y @smithery/cli install @rafaljanicki/goatcounter-mcp-server --client claude ``` ### Option 2: Install from PyPI The easiest way to install `goatcounter-mcp-server` is via PyPI: ```bash pip install goatcounter-mcp-server ``` Or install directly from the repository: ```bash pip install git+https://github.com/rafaljanicki/goatcounter-mcp-server.git ``` ### Option 3: Install fro…
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