MCP-Server-Employee-Performance-Tracking

ali-muhammad-mz/MCP-Server-Employee-Performance-Tracking

3.1

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The MCP-Server-Employee-Performance-Tracking is a Model Context Protocol server designed to manage and track employee feature assignments and their completion status.

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MCP-Server-Employee-Performance-Tracking

A Model Context Protocol (MCP) server for managing and tracking employee performance.

Quick Start

1. Project Setup

Create project and install dependencies:

  • uv init project-name
  • cd project-name
  • uv add "mcp[cli]"
  • pip install "mcp[cli]"

2. Implementation

  • Server logic is implemented in server.py
  • Entry point is main.py

3. Installation

Install the MCP server:

  • uv run mcp install server.py

This command registers the MCP server, allowing MCP clients like Claude Desktop (used for this project) to consume the defined tools.

Tools (functionalities)

The server provides three tools:

  • Get Current Feature - Fetch the current feature being worked on by an employee
  • Get Completed Features - Get the count of completed features for an employee
  • Update Current Feature - Reassign employee's current assignment and mark previous as complete

Note: This implementation uses mock data for demonstration purposes instead of connecting to an actual database.