Model Context Protocol Daemon

@Pixeladed

关于 Model Context Protocol Daemon

Model Context Protocol Daemon - a tool for installing, running and managing MCP servers

#mcpd #model-context-protocol #server-management

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

Pixeladed

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcpd": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

工具

未检测到工具

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 Model Context Protocol Daemon?

Model Context Protocol Daemon is a tool for managing Model Context Protocol (MCP) servers. It allows users to quickly install new MCP servers, manage multiple instances, and perform related operations. It is currently a work in progress.

How to use Model Context Protocol Daemon?

The project is under development; a CLI binary can be built using PyInstaller. For development, create a Python virtual environment, install dependencies via Poetry, and run the project. The final CLI executable will be placed in a dist folder after building.

Key features of Model Context Protocol Daemon

Manage Model Context Protocol (MCP) servers
Quickly install new MCP servers (planned)
Manage multiple MCP server instances
Build Docker images for components
Fetch packages from GitHub
Run an MCP server

Use cases of Model Context Protocol Daemon

Centralized management of several MCP servers from a single daemon
Automating deployment of MCP servers via Docker images
Quickly fetching and testing MCP server packages from GitHub
Running multiple MCP server instances for different contexts

FAQ from Model Context Protocol Daemon

What functionalities are currently implemented?

The project has implemented a protocol for components, building Docker images, fetching packages from GitHub, and running an MCP server.

What is still under development?

Installing MCP server packages, a local MCP server registry, and the CLI are not yet complete.

How can I set up the development environment?

Create a Python virtual environment (python -m venv venv), activate it, install Poetry, then run poetry install to install dependencies.

How do I build the CLI?

Use PyInstaller by running pyinstaller cli.spec. The executable will be created in a dist folder.

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