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Mcp Daemonize
What is Mcp Daemonize
mcp-daemonize is a Model Context Protocol server designed for the seamless management and monitoring of long-running daemons, enabling AI agents to control development servers effectively.
Use cases
Use cases include starting and stopping development servers like Vite and Next.js from AI agents, viewing real-time logs for debugging, and automating workflows that require persistent background processes.
How to use
To use mcp-daemonize, install it by downloading the latest version from the GitHub Releases page, and ensure you have Go 1.24.2 or later installed. Optionally, you can use Docker to run it in a container.
Key features
Key features include the ability to start and stop daemons without waiting for their termination, real-time log access for running daemons, and tools for automated debugging and monitoring.
Where to use
mcp-daemonize is particularly useful in software development environments where long-running processes need to be managed and monitored, especially for AI-driven development workflows.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Daemonize
mcp-daemonize is a Model Context Protocol server designed for the seamless management and monitoring of long-running daemons, enabling AI agents to control development servers effectively.
Use cases
Use cases include starting and stopping development servers like Vite and Next.js from AI agents, viewing real-time logs for debugging, and automating workflows that require persistent background processes.
How to use
To use mcp-daemonize, install it by downloading the latest version from the GitHub Releases page, and ensure you have Go 1.24.2 or later installed. Optionally, you can use Docker to run it in a container.
Key features
Key features include the ability to start and stop daemons without waiting for their termination, real-time log access for running daemons, and tools for automated debugging and monitoring.
Where to use
mcp-daemonize is particularly useful in software development environments where long-running processes need to be managed and monitored, especially for AI-driven development workflows.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
mcp-daemonize
mcp-daemonize is a Model Context Protocol (MCP) server designed to provide seamless management of long-running daemons (such as development servers) for AI agents like Claude Code and Cline. It enables advanced automation and debugging capabilities by allowing AI agents to start, stop, and monitor daemons, as well as access their logs in real time.
Motivation
While AI agents can execute commands, they are not well-suited for managing long-running development servers (e.g., vite dev). This is because the agent typically waits for the command to finish, which is not suitable for servers that are meant to run continuously during development. As a workaround, users often start development servers in a separate shell, but this prevents the AI agent from directly accessing the server’s logs, making autonomous debugging impossible.
mcp-daemonize solves these problems by providing:
- An interface to start daemons without waiting for their termination.
- Tools to stop running daemons.
- Tools to view real-time logs of running daemons.
With these features, mcp-daemonize enables AI agents to fully manage development servers, monitor their output, and perform automated debugging, greatly expanding the possibilities for autonomous coding.
Use Cases
- Starting and stopping development servers (e.g., Vite, Next.js, etc.) from an AI agent.
- Viewing and analyzing real-time logs of running daemons for debugging.
- Automating development workflows that require persistent background processes.
- Enabling AI agents to manage, monitor, and debug long-running processes autonomously.
Prerequisites
- Go 1.24.2 or later installed.
- (Optional) Docker, if you wish to run mcp-daemonize in a container.
Installation
Download from GitHub Releases
Visit the Releases page to download the latest version.
- Download the archive for your platform from the latest release page.
- Extract the archive and move the binary to a directory in your PATH.
wget https://github.com/mackee/mcp-daemonize/releases/download/vX.Y.Z/mcp-daemonize_X.Y.Z_Darwin_x86_64.tar.gz
tar -xzf mcp-daemonize_X.Y.Z_Darwin_x86_64.tar.gz
sudo mv mcp-daemonize /usr/local/bin/
Build from Source
You can install the latest version using go install (Go 1.24.2 or later):
go install github.com/mackee/mcp-daemonize/cmd/mcp-daemonize@latest
Usage with MCP Host (e.g., Claude Code, Cline)
Add the following configuration to your MCP host settings (e.g., mcp.json):
{
"servers": {
"daemonize": {
"command": "/path/to/mcp-daemonize",
"args": [],
"env": {}
}
}
}
Replace /path/to/mcp-daemonize with the actual path to the built binary.
Usage
mcp-daemonize provides the following tools for AI agents:
Tools
-
daemonize_start
- Start a long-running process (e.g., a development server) as a daemon.
- Parameters:
name(string, required): Name of the daemon.command(string[], optional): Command to run (e.g.,["npm", "run", "dev"]).workdir(string, required): Working directory for the daemon (absolute path).
-
daemonize_stop
- Stop a running daemon by name.
- Parameters:
name(string, required): Name of the daemon to stop.
-
daemonize_list
- List all currently running daemons.
- Parameters: None
-
daemonize_logs
- Retrieve the latest logs from a running daemon.
- Parameters:
name(string, required): Name of the daemon.tail(number, required): Number of lines to read from the end of the log.
Example Workflow
- Start a development server as a daemon using
daemonize_start. - Use
daemonize_logsto monitor the server’s output in real time. - Stop the server with
daemonize_stopwhen finished.
License
This project is licensed under the terms of the MIT open source license. See LICENSE for details.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










