MCP Easy Installer
About
MCP easy installer is a robust mcp server with tools to search, install, configure, repair and uninstall MCP servers
Explore
- 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.
---
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:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Easy InstallerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository and install dependencies:
MCP easy installer is a robust mcp server with tools to search, install, configure, repair and uninstall 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.
---
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.
---
npm install
1. Download the latest release from https://github.com/onigetoc/mcp-easy-installer
2. Extract the files to your preferred location
3. Open a terminal in the extracted directory
4. Run npm install to install dependencies
5. Run npm run build to compile the application for use with MCP clients
---
If you want to customize the languages used for searching, here's an example of the args array that includes all supported language codes. withour this line, default are javascript, typescript and html:
"args": [
"path-to\\mcp-easy-installer\\build\\index.js",
"--langcode=ts,js,html,py,sh"
]
// this will also work
"--langcode=typescript,javascript,HTML,python,shell" // Your can add more according to the Github search filter
Get your personal GitHub Token then click Generate new token (You may have to login or create a Githhub account before).
---
Through extensive testing with various MCP servers, we've discovered an optimal approach for LLMs to interact with MCP servers, even for smaller models using Function calls. Here's the recommended context to add to your MCP client for better results:
Every time you use a MCP server (Model Context Protocol), you must give the complete information. If, for example, you are asked to do a search on anything (YouTube, Wikipedia, Internet, BRAVE, etc.), you must give as much information as possible on the title, description and links. The links are very important in the answer because it can be used later in the conversation, for follow-up interactions with the MCP Client or others MCP servers.
At the beginning of each answer but only if it's a complex question, make a bullet list to summarize what you are going to do between 5 and 10 points of what you will do next.
After your answer, if it's a complex question, always write a resume and a plan to follow at the end of the answer.
Use MCP server tools to go deeper when it's a structured work to do according the the complexity of the task.
For example, if the user asks something very simple like, "hello, how are you?" You don't have to do deep research and just answer normally, without task, without going deeper. Just answer directly.
For a complete example of this implementation, see this Github Gist.
---
graph TD
A[Parse User Input] --> B{URL Type?}
B -->|GitHub shorthand| C[Construct full URL]
B -->|Full URL| D[Clone Repository]
C --> D
D --> E[Install Dependencies]
E --> F[Build Project]
F --> G[Locate index.js]
G --> H[Generate MCP Config]
H --> I[Update Settings]
```
---
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.
---
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": ""
}
}
}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
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