# Supervisord MCP

> Use this tool when you need to manage and monitor Supervisord processes in production and development environments. It enables AI agents to control processes through the Model Context Protocol, solving issues with process management and logging. The tool accepts inputs such as process commands and returns outputs like process status and logs, streamlining process control and troubleshooting.

Canonical page: https://skillsregistry.net/skills/aether-platform-supervisord-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aether-platform-supervisord-mcp

## Description

Enables AI agents to manage Supervisord processes (start, stop, restart, view logs, etc.) through the Model Context Protocol, simplifying process management in production and development environments.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hiodetymey)
- **Repository:** <https://github.com/aether-platform/supervisord-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aether-platform-supervisord-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aether-platform-supervisord-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aether-platform-supervisord-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt