MCP Desk

@debsouryadatta

代码仓库

基本信息

分类

其他

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stdio

作者

debsouryadatta

关于 MCP Desk

A Desktop Application To Interact With Your MCP Servers

MCP Desk 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Desk 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mcp-desk?

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.

How to use mcp-desk?

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.

Key features of mcp-desk

Cross‑platform desktop app (Windows, macOS, Linux)
Modern UI built with React, TypeScript, Shadcn UI, and Tailwind CSS
MCP client using the easy-mcp-use library
AI agent chat powered by Langchain and OpenRouter models
Supports tool‑calling with selected LLM models
Settings management with JSON import/export via localStorage
Renders assistant messages in Markdown format

Use cases of mcp-desk

Connect to and manage multiple MCP server configurations through a graphical interface
Chat with an AI agent that can use tools provided by connected MCP servers
Backup and restore application settings (MCP configurations and model preferences) as JSON files
Experiment with different LLM models from OpenRouter within an integrated chat environment

常见问题

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.

How do I install mcp-desk?

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.

What are the prerequisites for development?

You need Node.js and the `pnpm` package manager installed globally. The project uses Electron, React, TypeScript, and various libraries listed under “Built With”.

How do I build mcp-desk for Linux?

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.

Where are my settings stored?

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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