MCP X

v1.0.0Developer Toolsstable

这是一个MCP客户端,让你轻松配置各个大模型,对接各种MCP Server而开发。This is an MCP client that allows you to easily configure various large models and develop interfaces with various MCP servers.

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What is MCP X?

MCP X is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 这是一个mcp客户端,让你轻松配置各个大模型,对接各种mcp server而开发。this is an mcp client that allows you to easily configure various large models and develop interfaces with various mcp servers.

这是一个MCP客户端,让你轻松配置各个大模型,对接各种MCP Server而开发。This is an MCP client that allows you to easily configure various large models and develop interfaces with various MCP servers.

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • 这是一个MCP客户端,让你轻松配置各个大模型,对接各种MCP Server而开发。This is an MCP clie

Use Cases

Configure multiple large language models to work with various MCP servers.
Develop custom integrations between different AI models and MCP protocols.
TimeCyber

Maintainer

LicenseApache-2.0
Languagetypescript
Versionv1.0.0
UpdatedMay 21, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-x

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use MCP X

MCP-X is a desktop MCP client application that lets users configure multiple large language models (ChatGPT, Claude, Gemini, Ollama, and any OpenAI-compatible API) and connect them to a wide variety of MCP servers through a unified graphical interface. Available for Windows, macOS, and Linux, it bundles common tools like filesystem access and web fetch out of the box, supports knowledge base document uploads, and provides domain-specific AI agent presets. It is especially useful for developers who want a single app to manage many MCP server connections across different AI providers without hand-editing JSON config files.

Prerequisites

  • Windows, macOS, or Linux desktop environment
  • Node.js and Python installed (bundled on Windows; must be installed separately on macOS/Linux)
  • npx and uvx available in PATH (for running MCP server tools)
  • API keys for at least one LLM provider: Anthropic, OpenAI, Google Gemini, or a local Ollama instance
1

Download MCP-X for your platform

Go to the MCP-X GitHub releases page and download the appropriate installer: .exe for Windows, .dmg for macOS, or .AppImage for Linux.

2

Install and launch the application

On Windows, run the .exe installer. On macOS, open the .dmg and drag to Applications. On Linux, make the .AppImage executable and run it. Ubuntu/Debian users may need the --no-sandbox flag if the app doesn't open.

# Linux only:
chmod +x MCP-X.AppImage
./MCP-X.AppImage --no-sandbox
3

Install Node.js and Python dependencies (macOS/Linux)

On macOS and Linux, install Node.js (for npx) and Python (for uvx) if not already present. These are required for running MCP server tools.

# macOS:
brew install node python
npm install -g npx
pip install uv
4

Configure your LLM API keys in the app

Open MCP-X settings and enter your API key(s) for the AI providers you want to use. MCP-X supports multiple keys and lets you switch models mid-session.

5

Add MCP servers via the JSON settings panel

In MCP-X settings, navigate to the MCP Servers section and add servers using the standard JSON format. The app comes pre-configured with fetch and filesystem servers.

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"],
      "enabled": true
    },
    "filesystem": {
      "command": "npx",
      "args": ["@modelcontextprotocol/server-filesystem", "/path/to/files"],
      "enabled": true
    }
  }
}

MCP X Examples

MCP server configuration within MCP-X

JSON configuration block for adding multiple MCP servers inside the MCP-X settings panel.

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"],
      "enabled": true
    },
    "filesystem": {
      "command": "npx",
      "args": ["@modelcontextprotocol/server-filesystem", "/Users/yourname/Documents"],
      "enabled": true
    },
    "youtube": {
      "command": "uvx",
      "args": ["mcp-server-youtube-transcript"],
      "enabled": true
    }
  }
}

Prompts to try

Example tasks you can accomplish using MCP-X with its built-in and custom MCP servers.

- "Read the file /Users/me/report.md and summarize the key findings."
- "Fetch the content of https://example.com and tell me what services they offer."
- "Switch to Claude and answer the same question I just asked GPT-4."
- "Upload my notes.txt to the knowledge base and then answer questions about it."
- "Use the YouTube tool to get the transcript of this video and summarize it."

Troubleshooting MCP X

MCP-X won't launch on Linux

Run the AppImage with the `--no-sandbox` flag: `./MCP-X.AppImage --no-sandbox`. This is a common requirement on Ubuntu and Debian systems where the default sandbox mode is restricted.

MCP server tools fail with 'npx not found' or 'uvx not found'

Install Node.js and Python/uv on your system and ensure npx and uvx are in your PATH. On macOS use `brew install node` and `pip install uv`. Restart MCP-X after installing to pick up the updated PATH.

External SSE-based MCP server not connecting

In the MCP servers configuration, add the server using a URL instead of a command. SSE servers require a URL field pointing to your SSE endpoint (e.g., `http://localhost:8080/sse`). Make sure the remote server is running and accessible.

Frequently Asked Questions about MCP X

What is MCP X?

MCP X is a Model Context Protocol (MCP) server that 这是一个mcp客户端,让你轻松配置各个大模型,对接各种mcp server而开发。this is an mcp client that allows you to easily configure various large models and develop interfaces with various mcp servers. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP X?

Follow the installation instructions on the MCP X GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with MCP X?

MCP X works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MCP X free to use?

Yes, MCP X is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-x": { "command": "npx", "args": ["-y", "mcp-x"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use MCP X?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

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