mcp-gearbox

🥈Silver

MCP Gearbox is a desktop app for managing Model Context Protocol (MCP) servers across multiple AI agents. It benefits developers and operations teams by simplifying server management. The tool connects to AI agent workflows and integrates with TypeScript-based development environments.

5680Updated 1mo ago

Intermediate30min to implementautomation

Saves ~150 min per use

Quick InstallView Source

git clone https://github.com/rohitsoni007/mcp-gearbox.git

Works with:

Claude

Overview

About This Skill

How to Use

[{"step":"Install MCP Gearbox and integrate it with your TypeScript-based development environment. Follow the setup guide in the app’s documentation to ensure compatibility with your MCP servers.","tip":"Use the `--debug` flag during setup to verify that MCP Gearbox can communicate with your servers without errors."},{"step":"Use the dashboard to start, stop, or restart MCP servers. For bulk operations, use commands like `mcp-gearbox start --all` or `mcp-gearbox stop --server mcp-git`.","tip":"Enable auto-start for critical servers to ensure they’re always available when you begin work."},{"step":"Monitor server performance and logs directly in MCP Gearbox. Identify bottlenecks or errors and apply fixes without leaving the app.","tip":"Set up alerts for high CPU/memory usage to proactively address performance issues."},{"step":"Update configurations on-the-fly and restart servers to apply changes. Use the built-in editor to modify JSON/YAML files safely.","tip":"Always back up configurations before making changes, and test updates in a staging environment first."},{"step":"Shut down servers gracefully when done. Use the `--force` flag only if servers are unresponsive to avoid data corruption.","tip":"Schedule regular maintenance windows to restart all servers and clear temporary files."}]

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/rohitsoni007/mcp-gearbox

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

Use MCP Gearbox to [ACTION] for [PURPOSE]. For example: 'Use MCP Gearbox to start the [SERVER_NAME] server and verify its status in the dashboard.' or 'Use MCP Gearbox to update the configuration for the [SERVER_NAME] server and restart it to apply changes.'

Example Output

Here’s how MCP Gearbox streamlined server management for a team working with multiple AI agents:

1. **Server Discovery & Initialization**: The team used MCP Gearbox to scan their development environment and identify three MCP servers: `mcp-file-system`, `mcp-git`, and `mcp-database`. They initialized all servers with a single command: `mcp-gearbox start --all`. Within 30 seconds, all servers were running, and their statuses were displayed in the dashboard as 'Active' with green indicators.

2. **Configuration Update**: The team needed to adjust the `mcp-git` server’s polling interval from 5 seconds to 1 second to improve real-time updates. Using MCP Gearbox’s configuration editor, they modified the `config.json` file directly in the app, saved the changes, and clicked 'Restart Server' to apply the update. The server restarted without errors, and the new interval was verified in the logs.

3. **Performance Monitoring**: After deploying a new AI agent workflow, the team monitored server performance using MCP Gearbox’s built-in metrics. They noticed that the `mcp-database` server’s CPU usage spiked to 85% during peak hours. They used the app’s 'Logs' tab to identify a slow query and optimized it by adding an index. CPU usage dropped to 45% within minutes.

4. **Graceful Shutdown**: At the end of the day, the team shut down all servers cleanly using `mcp-gearbox stop --all`. The app displayed a confirmation message: 'All servers stopped successfully,' and the team’s local development environment was left in a clean state for the next day.

The entire process saved the team approximately 2 hours of manual work per week by centralizing server management, reducing configuration errors, and providing real-time visibility into server health.