Supervisord MCP Server

If you want an AI assistant working directly with Supervisord MCP, the supervisord mcp mcp server is the bridge. Supervisord MCP provides coding agents with direct access to Supervisord process management through the Model Context Protocol. By offering standardized process control capabilities, it eliminates the complexity of shell command parsing and reduces token consumption for AI agents working in.

What Supervisord MCP does

Supervisord MCP provides coding agents with direct access to Supervisord process management through the Model Context Protocol. By offering standardized process control capabilities, it eliminates the complexity of shell command parsing and reduces token consumption for AI agents working in production and development environments.

Supervisord MCP enables AI coding agents to work more efficiently with production process management, contributing to better deployment reliability and operational efficiency.

Tools it exposes

Once connected, the assistant can call these 14 tools directly:

• add_process — Add a new process (requires config reload)
• start_process — Start a process
• stop_process — Stop a process
• restart_process — Restart a process
• list_processes — List all processes
• get_process_status — Get detailed process status
• get_logs — Retrieve process logs (stdout/stderr)
• get_system_info — Get Supervisord system information
• reload_config — Reload Supervisord configuration
• Installation — The Installation tool exposed by this server
• Microservices — The Microservices tool exposed by this server
• Documentation — The Documentation tool exposed by this server
• Support — The Support tool exposed by this server
• Comparison — The Comparison tool exposed by this server

Installing the supervisord mcp mcp server

The server is distributed via PyPI as supervisord-mcp, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.

Where it fits

Knowledge and memory servers address the most frustrating trait of language models — walking into every conversation with no recollection of the last one. Supervisord MCP sits in that group, and the shape of its toolset — add_process, start_process, stop_process among others — tells you what it is really for. Worth comparing against the other knowledge memory servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

• This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
• With 14 tools exposed, expect a noticeable bump in prompt size — disable it in projects that never use Supervisord MCP.
• Maintained by aether-platform, written in Python.
• MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the supervisord mcp mcp server actually does with your data.
• Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.