context-optimizer-mcp-server

🥈Silver

A Model Context Protocol (MCP) server that provides context optimization tools for AI coding assistants including GitHub Copilot, Cursor AI, Claude Desktop, and other MCP-compatible assistants enabling them to extract targeted information rather than processing large terminal outputs and files wasting their context.

5250Updated 1w ago

Intermediate30min to implementautomation

Saves ~75 min per use

Quick InstallView Source

git clone https://github.com/malaksedarous/context-optimizer-mcp-server.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/malaksedarous/context-optimizer-mcp-server

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Set up a context-optimizer-mcp-server for [COMPANY]'s [INDUSTRY] development team. The server should optimize context for AI coding assistants like GitHub Copilot and Cursor AI. Provide step-by-step instructions for installation, configuration, and integration with the team's existing workflows.

Example Output

## Context Optimizer MCP Server Setup Guide

### Step 1: Installation
1. Clone the repository: `git clone https://github.com/[COMPANY]/context-optimizer-mcp-server.git`
2. Navigate to the project directory: `cd context-optimizer-mcp-server`
3. Install dependencies: `npm install`
4. Build the project: `npm run build`

### Step 2: Configuration
1. Create a `.env` file in the root directory.
2. Add the following environment variables:
   - `MCP_SERVER_PORT=3000`
   - `GITHUB_TOKEN=[YOUR_GITHUB_TOKEN]`
   - `CURSOR_API_KEY=[YOUR_CURSOR_API_KEY]`

### Step 3: Integration
1. Start the server: `npm start`
2. Integrate with GitHub Copilot and Cursor AI by adding the server URL to their settings.
3. Test the integration by running a sample command in your terminal.