Model Context Protocol Daemon
About
Model Context Protocol Daemon - a tool for installing, running and managing MCP servers
Details
- Author
- Pixeladed
- GitHub stars
- 1
- Downloads
- 379
- Categories
- Other
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Model Context Protocol DaemonCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"model context protocol daemon": {
"mcpd": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}
}
McpServers
{
"mcpd": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
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
- [x] Protocol for components
- [x] Building Docker images
- [x] Fetching packages from GitHub
- [ ] Installing MCP server packages
- [x] 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
2. Install poetry for managing dependencies
3. 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
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