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MCP Daemon

@Pixeladed

Repository

Basic information

Category

Other

Transports

stdio

Author

Pixeladed

About MCP Daemon

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

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

MCP Daemon config

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

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

MCP Daemon tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Frequently asked questions

1

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.

2

What is still under development?

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

3

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.

4

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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