What is the Paychex MCP Server used for?
It is a demonstration server that lets you query Paychex Developer API documentation using large language models, providing answers to questions about Paychex APIs.
@ryanemitchell
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A demonstration MCP (Model Context Protocol) server that interacts with the Paychex Developer API documentation. It allows integration with various LLMs (OpenAI, Anthropic, etc.) to process queries against Paychex documentation, enabling AI assistants to answer questions about Paychex APIs.
Clone the repository, install dependencies with npm install, create a .env file from .env.example, and set your Paychex API credentials and LLM API keys. Run npm run dev for development or npm start for production. Use the RESTful API endpoints: GET /api/paychex/data to fetch raw Paychex documentation data, and POST /api/paychex/query to submit a natural language query processed by an LLM.
It is a demonstration server that lets you query Paychex Developer API documentation using large language models, providing answers to questions about Paychex APIs.
The server supports OpenAI, Anthropic, and Azure, configurable via the `LLM_TYPE` environment variable. You can add more by creating a new service class and updating the configuration.
Create a `.env` file in the root directory and set variables for `PAYCHEX_API_KEY`, `PAYCHEX_CLIENT_ID`, `PAYCHEX_CLIENT_SECRET`, and your chosen LLM’s API key (e.g., `OPENAI_API_KEY`).
No. This is a demonstration project only and is not officially affiliated with or endorsed by Paychex.
The server requires Node.js, npm, and a `.env` file with valid Paychex developer credentials and an LLM API key. It runs as a REST API on the configured port (default 3000).

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