SupervisordMCP- AI Agent DevServer Management Made Simple
@aether-platform
About SupervisordMCP- AI Agent DevServer Management Made Simple
Streamline development server management for AI coding agents. SupervisordMCP combines Circus process manager with Model Context Protocol (MCP), eliminating shell command complexity and reducing token consumption for AI-driven development workflows.
Overview
What is SupervisordMCP?
SupervisordMCP is a process management tool with built-in Model Context Protocol (MCP) support, enabling AI agents to manage local development processes. It runs on any operating system with Python 3.10 or higher and provides a command-line interface for adding, starting, stopping, and monitoring processes.
How to use SupervisordMCP?
Install with uv add supervisord-mcp (or pip install supervisord-mcp). Start the daemon with uv run supervisord-mcp start-daemon, then add a process (e.g., uv run supervisord-mcp add webapp "python app.py"), and start it. Use overview, logs, status-all for monitoring. For AI integration, run uv run supervisord-mcp mcp and configure the client with the provided JSON.
Key features of SupervisordMCP
- Process management with intelligent state handling (ensure-started/stopped)
- Bulk operations: start-all, stop-all, restart-all
- Comprehensive monitoring with overview and status commands
- Real-time log viewing with filtering by stream and line count
- Built-in MCP protocol support for AI agent automation
- Cross-platform: works on Linux, macOS, and Windows
- Lightweight alternative to Docker Compose and systemd
Use cases of SupervisordMCP
- Managing production web applications with multiple workers (e.g., Gunicorn + Celery)
- Spinning up a local development stack (frontend, backend, Redis)
- Orchestrating microservices (auth-service, user-service, notification-service)
FAQ from SupervisordMCP
How does SupervisordMCP compare to Docker Compose or systemd?
SupervisordMCP is lighter (no containers), faster (direct process execution), simpler (one command), cross-platform, and includes built-in MCP support for AI automation, unlike Docker Compose or systemd.
What platforms and Python versions are supported?
Any operating system (Linux, macOS, Windows) with Python 3.10 or higher.
Does SupervisordMCP support MCP for AI agents?
Yes. It provides an MCP server via uv run supervisord-mcp mcp using the stdio transport method, designed for local development environments.
What is the licensing for SupervisordMCP?
It is released under the MIT License.
Are there any known limitations?
SupervisordMCP is intended for local development environments only and uses the stdio transport method as specified in the MCP documentation. It is not designed for remote or production deployment.
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