What is mcp-desk?
MCP Desk is a desktop application that acts as a client for Multi-Capability Platform (MCP) servers. It offers a chat interface for AI agents, settings management, and the ability to import/export configurations.
@debsouryadatta
Basic information
A Desktop Application To Interact With Your MCP Servers
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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MCP Desk is a desktop application built with Electron, React, and TypeScript that serves as a client for interacting with Multi-Capability Platform (MCP) servers. It provides a chat interface for AI agents powered by Langchain and OpenRouter models, along with settings management for MCP configurations and the ability to import/export application data.
Download the latest pre‑built release for your OS from GitHub, or clone the repository and run pnpm install followed by pnpm run dev for development. After launching, navigate to the settings section to input your MCP server details and select an LLM model, then use the chat interface to interact with the AI agent. Settings can be backed up or restored using the import/export functionality.
easy-mcp-use libraryMCP Desk is a desktop application that acts as a client for Multi-Capability Platform (MCP) servers. It offers a chat interface for AI agents, settings management, and the ability to import/export configurations.
You can download a pre‑built installer from the GitHub Releases page (`.dmg` for macOS, `.exe` for Windows) or build from source by cloning the repository, installing dependencies with `pnpm`, and running `pnpm run dev` or one of the build commands.
You need Node.js and the `pnpm` package manager installed globally. The project uses Electron, React, TypeScript, and various libraries listed under “Built With”.
Run `pnpm run build:linux` after completing the installation steps. Pre‑built Linux packages are not currently provided in the releases, so Linux users must build the application locally.
Application settings are stored in the browser’s `localStorage`. You can back up or restore them via the import/export feature, which creates or reads a JSON file.

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