Payroll MCP Server

An MCP protocol server implementation based on TypeScript and Express, focusing on payroll management functions and providing a standardized AI model interaction interface.

Finance Customer data platform #Payroll Management #AI Interaction #HR Tool #Protocol Service .TypeScript

rating : 2 points

downloads : 10

update time : 2025-04-28

What is the Payroll Management MCP Server?

This service allows businesses to manage payroll and access employee information through simple AI-powered interactions. It acts as a bridge between your AI assistant and payroll systems.

How to use this service?

Connect your AI assistant to this server, then you can ask natural language questions about payroll or employees. The system handles the technical details behind the scenes.

When should I use this?

Perfect for HR teams who want to quickly check payroll information, calculate payments, or look up employee details without complex software interfaces.

Key Features

Employee InformationQuickly access employee details like name, department, and role

Payroll CalculatorAutomatically calculate gross pay, taxes, and net pay

Real-time DataGet live updates through server-sent events

AI Assistant ReadyWorks seamlessly with AI models through standard MCP protocol

Pros and Cons

Advantages

Simplifies complex payroll queries into natural language

Reduces need for technical payroll software knowledge

Works with existing AI assistants and chatbots

Provides real-time data updates

Limitations

Requires initial setup with your payroll system

Limited to predefined payroll functions

Needs internet connection to access

Getting Started

Set up your environment

Install Node.js 18+ and clone the repository

Configure the server

Copy the example environment file and update with your settings

Start the server

Run in development mode for testing

Connect your AI

Configure your AI assistant to connect to the MCP server endpoint

Example Use Cases

Checking Employee DetailsQuickly look up basic information about any employee

Payroll CalculationCalculate payment amounts including taxes

Multi-employee ReportingGet information about multiple employees at once

Frequently Asked Questions

What authentication methods are supported?

Can I use this without an AI assistant?

How do I customize the payroll calculations?

Is my employee data secure?

Additional Resources

MCP Protocol Documentation

Technical details about the Model Context Protocol

Example Client Code

Sample implementations for connecting to the MCP server

Payroll API Reference

Complete reference for all available API endpoints

🚀 MCP Server Using TypeScript

A Model Context Protocol (MCP) server implemented with TypeScript and Express for salary management.

🚀 Quick Start

This is an MCP server implemented using TypeScript and Express, designed for salary management. It enables AI models to interact with external systems in a standardized way.

✨ Features

Implement the MCP protocol for LLM interaction.
Provide salary management tools and access to employee information.
Use Express to handle HTTP requests.
Support Server-Sent Events (SSE) for real-time communication.
Include a sample client for testing purposes.

📦 Installation

Requirements

Node.js version 18 or higher.
npm or yarn package manager.

Steps

Clone the repository.
Install dependencies:

npm install

Create a .env file based on the .env.example template:

cp .env.example .env

Update the API configuration in the .env file:

# API configuration
BASE_URL=http://app.localopfin.com
PORT=8089

💻 Usage Examples

Starting the Server

Development Environment

Use the following command to start the development server:

npm run dev

Production Environment

Run the following commands in a production environment:

npm run build
npm start

The server will run on port 8089 by default. You can change the port by setting the PORT environment variable in the .env file.

Authentication

This server supports two authentication methods for API requests:

API authentication using authId and authKey.
Partner authentication using partnerKey and clientKey. If you need to customize authentication requirements, you can modify the src/api.ts file.

API Endpoints

GET /sse: Server-Sent Events endpoint for MCP communication.
POST /messages: Endpoint for clients to send messages to the MCP server.

Available Resources

greeting://welcome: Static welcome message resource.
users://{userId}: Dynamic resource that returns user data.

Available Tools

view-people: View specific person information using the employee ID (requires authId and authKey authentication).
view-all-people: View all people, supporting optional filtering and pagination (supports API authentication using authId/authKey or partner authentication using partnerKey/clientKey).
add-employee: Add a new employee to the system.
remove-employee: Remove a specified employee from the system.

Available Interfaces

The EmployeeService type defines the interface for employee-related operations.
The SystemService type defines the interface for system-level operations. To use these tools, refer to the project documentation or sample code.

Testing with the Client

This project includes a test client. You can run the following command to verify the server functionality and API call methods:

npm run client

📚 Documentation

What is MCP?

The Model Context Protocol (MCP) enables AI models to interact with external systems in a standardized way. It provides a framework for defining resources, tools, and prompts for use by large language models (LLMs) to perform tasks. For more information, visit the Model Context Protocol repository.