Model Context Protocol Daemon
@Pixeladed
Model Context Protocol Daemon について
Model Context Protocol Daemon - a tool for installing, running and managing MCP servers
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcpd": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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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