MCP Linker

v1.0.0Developer Toolsstable

** - A cross-platform Tauri GUI tool for one-click setup and management of MCP servers, supporting Claude Desktop, Cursor, Windsurf, VS Code, Cline, and Neovim.

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What is MCP Linker?

MCP Linker is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ** - a cross-platform tauri gui tool for one-click setup and management of mcp servers, supporting claude desktop, cursor, windsurf, vs code, cline, and neovim.

** - A cross-platform Tauri GUI tool for one-click setup and management of MCP servers, supporting Claude Desktop, Cursor, Windsurf, VS Code, Cline, and Neovim.

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

Features

  • ** - A cross-platform Tauri GUI tool for one-click setup and

Use Cases

One-click MCP server setup
Cross-platform MCP management
Support for multiple AI editors
milisp

Maintainer

LicenseAGPL-3.0
Languagetypescript
Versionv1.0.0
UpdatedMay 17, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-linker

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 Linker

MCP Linker is a cross-platform GUI application built with Tauri that lets you browse, install, and manage MCP servers across all major AI editors from a single interface. It connects to a curated marketplace of 600+ MCP servers and handles configuration for Claude Desktop, Claude Code, Cursor, VS Code, Cline, Windsurf, Roo Code, and Codex CLI automatically. Instead of manually editing JSON config files, you click 'Get' on any server, select your target client, and the tool writes the correct configuration entry for you.

Prerequisites

  • macOS, Windows, or Linux desktop operating system
  • At least one MCP-compatible AI client installed (Claude Desktop, Cursor, VS Code, Cline, Windsurf, etc.)
  • Node.js or Python runtime depending on the MCP servers you plan to install
  • Internet connection to access the MCP Linker marketplace
1

Download MCP Linker

Install MCP Linker using your platform's package manager or download a pre-built binary from the GitHub releases page. On macOS use Homebrew; on Arch Linux use the AUR package; on Windows and other Linux distributions download the appropriate release asset.

# macOS via Homebrew
brew install mcp-linker

# Arch Linux via AUR
yay -S mcp-linker-bin

# Any platform: download from https://github.com/milisp/mcp-linker/releases
2

Launch the application

Open MCP Linker from your applications folder or start menu. The GUI will load and detect your installed AI clients automatically using its Smart Detection feature, which scans for Claude Desktop, Cursor, VS Code, and other editors.

3

Browse the MCP marketplace

In the MCP Linker interface, navigate to the Marketplace tab to see 600+ pre-curated MCP servers organized by category. Use the search bar to find servers by name or capability.

4

Install a server to your client

Click 'Get' on any server to view its setup details and required environment variables. Then click 'Add', choose the target AI client (e.g., Claude Desktop), fill in any required API keys, and MCP Linker writes the configuration entry automatically.

5

Verify the configuration

After installation, MCP Linker shows the updated configuration. You can also verify it manually by opening the config file for your client. Restart your AI client to load the newly added MCP server.

# Claude Desktop config location
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%\Claude\claude_desktop_config.json
6

Manage and sync servers

Use the Installed tab to view all configured servers across clients. MCP Linker supports local synchronization — changes made for one client can be replicated to others. The Pro tier adds encrypted cloud sync for sharing configuration across devices.

MCP Linker Examples

Client configuration (example entry added by MCP Linker)

When you install a server through MCP Linker, it writes an entry like this into your claude_desktop_config.json automatically.

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/Users/you/Documents"],
      "env": {}
    }
  }
}

Prompts to try

After installing MCP servers through MCP Linker, use these prompts in your AI client to exercise the newly installed capabilities.

- "List all MCP servers I have configured"
- "What tools are available from my installed MCP servers?"
- "Help me find an MCP server for interacting with my database"
- "Show me how to configure the GitHub MCP server"

Troubleshooting MCP Linker

MCP Linker does not detect my installed AI client

Ensure the client is fully installed and has been launched at least once so its config directory exists. MCP Linker scans standard installation paths; if you installed the client in a non-default location, the auto-detection may miss it. Check the GitHub issues page for platform-specific detection paths.

Newly added server does not appear in the AI client

Restart the AI client completely after MCP Linker writes the configuration. Most clients (Claude Desktop, Cursor) only load MCP server config at startup. If the problem persists, open the config file manually to confirm the entry was written correctly.

Environment variable fields are empty or the server fails to start

MCP Linker installs the configuration entry but cannot supply secret API keys automatically. Re-open the server's detail page in MCP Linker, fill in the required env vars (such as API_KEY), and click Save. Alternatively edit the JSON config file directly to add the missing values.

Frequently Asked Questions about MCP Linker

What is MCP Linker?

MCP Linker is a Model Context Protocol (MCP) server that ** - a cross-platform tauri gui tool for one-click setup and management of mcp servers, supporting claude desktop, cursor, windsurf, vs code, cline, and neovim. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP Linker?

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

Which AI clients work with MCP Linker?

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

Is MCP Linker free to use?

Yes, MCP Linker is open source and available under the AGPL-3.0 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-linker": { "command": "npx", "args": ["-y", "mcp-linker"] } } }

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

Read the full setup guide →

Ready to use MCP Linker?

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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