mcpField
M
Model Context Protocol Daemon

Model Context Protocol Daemon

Local
github.com/PixeladedDeveloper Tools1Updated 97w ago

About Model Context Protocol Daemon

Model Context Protocol Daemon is a work-in-progress tool for installing, running, and managing MCP servers, including multiple instances. Its documented progress includes running servers, building Docker images, and fetching packages from GitHub.

Key features

  1. 01Run MCP servers
  2. 02Manage multiple instances
  3. 03Build Docker images
  4. 04Fetch packages from GitHub

Use cases

  1. 01Run an MCP server
  2. 02Manage several server instances

MCP support

Manages MCP servers, with support for running them and managing multiple instances; package installation and a local registry are listed as unfinished.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Model Context Protocol Daemon WIP

The Model Context Protocol Daemon is a tool that allows you to manage Model Context Protocol (MCP) servers, quickly install new ones, manage multiple instances and more.

Progress

  • Protocol for components
  • Building Docker images
  • Fetching packages from GitHub
  • Installing MCP server packages
  • Running an MCP server
  • Local MCP server registry
  • CLI

Development

  1. Create and activate the virtual environment:
python -m venv venv
source venv/bin/activate
  1. Install poetry for managing dependencies

  2. Install dependencies:

poetry install

Building the CLI

We use pyinstaller to build the CLI. Running the following command will build the CLI and create a dist folder with the executable.

pyinstaller cli.spec

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.