What is Paychex MCP Server?
Paychex MCP Server is a demonstration server that interacts with the Paychex Developer API, allowing integration with various Language Learning Models (LLMs) to process queries against Paychex documentation.
How to use Paychex MCP Server?
To use the Paychex MCP Server, clone the repository, install the dependencies, set up your environment variables, and run the server in development or production mode.
Key features of Paychex MCP Server?
- Connects to Paychex Developer API documentation.
- Supports multiple LLM providers (OpenAI, Anthropic, etc.).
- Environment-based configuration for secure key management.
- RESTful API endpoints for querying Paychex data with LLMs.
Use cases of Paychex MCP Server?
- Querying Paychex API documentation for available APIs.
- Integrating with different LLMs to enhance data processing capabilities.
- Developing applications that require Paychex data retrieval and processing.
FAQ from Paychex MCP Server?
- Is this project officially affiliated with Paychex?
No, this is a demonstration project and is not officially affiliated with or endorsed by Paychex.
- How do I set up the environment variables?
Create a
.envfile in the root directory with your API keys and configuration settings as specified in the documentation.
- Can I add support for new LLM providers?
Yes, you can extend the server by adding new service classes and updating the configuration.
Paychex MCP Server
This project is a demonstration MCP (Machine Callable Program) server that interacts with the Paychex Developer API documentation. It allows integration with various LLMs (Language Learning Models) to process queries against Paychex documentation.
Features
- Connect to Paychex Developer API documentation
- Support for multiple LLM providers (OpenAI, Anthropic, etc.)
- Environment-based configuration for secure key management
- RESTful API endpoints for querying Paychex data with LLMs
Setup
- Clone this repository
- Install dependencies
npm install - Create a
.envfile based on.env.examplecp .env.example .env - Edit the
.envfile with your API keys
Environment Variables
This project uses environment variables for configuration. Create a .env file in the root directory with the following variables:
# Server configuration
PORT=3000
# Paychex API keys
PAYCHEX_API_KEY=your_api_key_here
PAYCHEX_CLIENT_ID=your_client_id_here
PAYCHEX_CLIENT_SECRET=your_client_secret_here
# LLM configuration
LLM_TYPE=openai # Options: openai, anthropic, azure, etc.
LLM_API_KEY=your_llm_api_key_here
OPENAI_API_KEY=your_openai_key_here
ANTHROPIC_API_KEY=your_anthropic_key_here
Usage
Development
npm run dev
Production
npm start
API Endpoints
Get Paychex Data
GET /api/paychex/data?endpoint=optional_endpoint_path
Returns raw data from the Paychex API documentation.
Query with LLM
POST /api/paychex/query
Body:
{
"query": "What are the available Paychex APIs?",
"endpoint": "optional_endpoint_path"
}
Processes the query against Paychex documentation using the configured LLM.
Extending
Adding New LLM Providers
To add support for a new LLM provider:
- Add a new service class in
services/llm.js - Update the
getLLMService()function to handle the new provider - Add the necessary environment variables to
.env.example
Disclaimer
This is a demonstration project only. It is not officially affiliated with or endorsed by Paychex.
