MCP Easy Installer

by onigetoc

17 stars
345 downloads
Not rated
GitHub

About

MCP easy installer is a robust mcp server with tools to search, install, configure, repair and uninstall MCP servers

Details

Author
onigetoc
GitHub stars
17
Downloads
345
Categories
Other, AI

- Search and discover available MCP servers for installation.
- Automated installation from GitHub or local sources.
- Repair utility that detects and fixes common MCP server issues.
- Built with TypeScript for reliability and maintainability.
- Comprehensive logging for every operation.
- Cross‑platform support (Windows, Linux, Mac).

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name MCP Easy Installer
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

How does MCP Easy Installer install MCP servers differently from npx?

Instead of using npx, this tool manually installs all MCP servers in a dedicated directory (Documents/Flowvibe/MCP/ on Windows, /home/USERNAME/Documents/Flowvibe/MCP/ on Linux/Mac), avoiding dependency on Node.js runtime.

Is a GitHub token required to use the search feature?

No, a GitHub token is optional. It helps prevent rate limiting when searching GitHub for MCP servers. Without the token, search may be restricted or limited, but all other tools remain functional.

Does MCP Easy Installer support GitHub Copilot for VS Code?

No, GitHub Copilot is not directly supported because it implements MCP in its own way. A workaround is to install Claude Desktop, which GitHub Copilot can connect to for MCP server usage.

How does the tool handle Python MCP servers?

Python integration is currently imperfect. Automated installation and configuration may not work optimally in all Python environments due to diverse setups. Manual intervention might be required, and community contributions are welcome.

Which operating systems has the tool been tested on?

The tool was primarily developed and tested on Windows. Feedback from Mac and Linux users is requested to ensure cross‑platform compatibility.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp easy installer": {
            "mcp-easy-installer": {
                "command": "node",
                "args": [
                    "path-to\\mcp-easy-installer\\build\\index.js"
                ],
                "env": {
                    "GITHUB_TOKEN": ""
                }
            }
        }
    }
}

McpServers

{
    "mcp-easy-installer": {
        "command": "node",
        "args": [
            "path-to\\mcp-easy-installer\\build\\index.js"
        ],
        "env": {
            "GITHUB_TOKEN": ""
        }
    }
}

MCP Easy Installer

MCP easy installer is a robust mcp server with tools to search, install, configure, repair and uninstall MCP servers.

Install & Repair Tools for MCP servers

MCP easy installer is a robust tool to search, install, configure, repair and uninstall MCP servers (Model Context Protocol). This utility is designed for developers and non-developers and end users, making it easy to set up and maintain MCP servers without technical expertise. Developers and system integrators can also use it to speed up their workflow and automate repetitive tasks. The tool streamlines setup, automates repairs, and ensures your MCP environment is always healthy.
This tool will automatically install and update all the necessary JSON configuration files for a wide range of applications, including Claude Desktop, Windsurf, Cursor, Roo Code, Cline, GitHub Copilot, and more. It ensures seamless integration and up-to-date settings across your AI and developer tools ecosystem.

---

Features

- Search & Discovery: Find available MCP servers for installation.
- Automated Installation: Quickly install MCP servers from GitHub or local sources.
- Repair Utility: Detects and fixes common MCP server issues.
- TypeScript Support: Built with TypeScript for reliability and maintainability.
- Comprehensive Logging: Clear logs for every operation.
- Cross-Platform: Works on Windows, Linux, and Mac.

---

Important Installation Note

MCP easy intaller do not use npx to install MCP servers with Node.js.
Instead, it manually install all MCP servers in the following directory:

- Windows:

  C:\Users\USERNAME\Documents\Flowvibe\MCP\

- Linux/Mac:
  /home/USERNAME/Documents\Flowvibe\MCP/

Replace USERNAME with your actual user name on your system.

---

VS Code - GitHub Copilot Integration Notes

GitHub Copilot for VS Code is not directly supported by this tool.

GitHub Copilot implements MCP in its own way with significant differences from other implementations. Due to these differences, GitHub Copilot is not included in this tool's supported applications.

Workaround:
If you want to update MCP server connections for VS Code GitHub Copilot, install Claude Desktop, as GitHub Copilot connects to Claude Desktop's MCP servers. This provides an indirect way to enhance GitHub Copilot's capabilities through MCP.

---

Python Integration Notes

Python integration with MCP has some limitations.

While this tool aims to provide seamless integration across multiple platforms and languages, Python support is currently imperfect and may require manual intervention in certain scenarios. Due to the diversity of Python environments, package managers, and project structures, automated installation and configuration may not work optimally in all cases.

We welcome community contributions:
- If you encounter issues with Python integration, please share your solutions in the issues section
- Consider forking this repository to implement improvements specific to Python environments
- Pull requests with enhancements to Python support are greatly appreciated

Our goal is to improve Python integration through collaborative development and user feedback.

---

Installation

Clone the repository and install dependencies:

Option 1: Install with Git

```bash

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.