Model Context Protocol Daemon

@Pixeladed

About Model Context Protocol Daemon

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

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

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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.

Comments

Basic information

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