MCP Linker, developed by Milisp, is a cross-platform GUI designed to manage and synchronize Model Context Protocol (MCP) server configurations for various AI clients. Built with TypeScript, it acts as an mcp store manager, connecting AI models to diverse data sources and tools. It supports popular AI clients like Claude Desktop/Code, Cursor, and VS Code, enabling developers and users to centralize their AI workflow settings.

What does MCP Linker connect to?

MCP Linker functions as a client-side manager for Model Context Protocol (MCP) server configurations. It connects to several AI clients, including Claude Desktop/Code, Cursor, VS Code, Cline, Windsurf, Codex, and Roo Code. These connections allow it to manage the MCP servers that expose tools to the AI clients. The Model Context Protocol itself is a standard for connecting AI models to different data sources and tools.

Core features and tools

MCP Linker provides several capabilities for managing AI client configurations. Its primary features include Local Sync, which ensures consistent settings across installations. Users can also browse the Official MCP Registry to discover and install new MCP servers. The tool offers Multi-Client Support, enabling management of configurations for multiple AI clients from a single interface. It does not expose callable tools itself.

Who is it for?

This program is for developers and users of AI clients and IDEs who want to simplify their AI workflows. It helps manage Model Context Protocol server configurations across different environments. The tool is suitable for those seeking consistent access to AI capabilities and easier integration of new AI features. Skip this if you do not use AI clients or IDEs that rely on Model Context Protocol servers.

How to get started

Access is granted through a standard OAuth authorization flow, supporting GitHub and Google logins via Supabase authentication. For the MCP servers managed by MCP Linker, some may require additional environment variables such as API_KEY or ACCESS_TOKEN for their own authentication, and these servers support transport protocols like stdio, SSE, and streamable HTTP.

Use cases

• Browsing and installing MCP servers from a built-in marketplace into selected AI clients.
• Syncing MCP server configurations across multiple AI clients to ensure consistent access to AI capabilities.
• Enabling immediate use of new AI capabilities by simplifying the integration of MCP servers.

MCP Linker by Milisp offers a centralized solution for managing Model Context Protocol server configurations across various AI clients. It supports multiple authentication methods and transport protocols, simplifying the setup and synchronization of AI capabilities for developers. The tool acts as a client-side manager, enhancing consistency and integration for AI workflows. Try browsing the Official MCP Registry to install a new MCP server into VS Code.