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mcp-servers

mcp-servers

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github.com/prajuktadeyBusiness & Marketing0Updated 78w ago

About mcp-servers

mcp-servers is an HR leave-management MCP server for HR administrators and employees. It provides tools and resources for submitting leave, reviewing records, and handling approvals.

Key features

  1. 01Submit leave requests
  2. 02View leave records
  3. 03Approve or reject requests

Use cases

  1. 01Employees applying for leave
  2. 02HR reviewing employee leave records
  3. 03Managers handling leave approvals

MCP support

The MCP server exposes tools and resources for interacting with a leave-management system.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

mcp-servers

HR-Leave-Management-System

This project is built using MCP (Model Context Protocol) and provides a server with tools and resources for managing employee leave requests. It allows HR admins and employees to interact with a leave management system through tools and resources, such as applying for leave, viewing leave records, and approving/rejecting leave requests.

2. Install Required Dependencies

Ensure you have Python 3.7+ installed. Then, install the required dependencies.

pip install uv
uv init leave-management
3. Install the Server in Claude Desktop

Run the following command in your project directory:

uv run mcp install main.py
Explanation:
  1. Installing the server: The command uv run mcp install main.py is used to install your server in Claude Desktop.
  2. Restarting Claude Desktop: If there are any running instances of Claude Desktop, you need to close them and restart to apply changes made by the server installation.

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.