# RunComfy MCP

> RunComfy MCP — runcomfy-com-runcomfy-mcp. Use this tool when you need to manage and deploy AI models, run inference, and retrieve results from AI assistants. The RunComfy MCP server enables seamless interaction with ComfyUI, allowing for efficient deployment and inference management. It accepts AI model inputs and returns results, making it ideal for use cases that require scalable and serverless AI deployments.

Canonical page: https://skillsregistry.net/skills/runcomfy-com-runcomfy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/runcomfy-com-runcomfy-mcp

## Description

MCP server for RunComfy's Serverless API (ComfyUI) that enables managing deployments, running inference, and retrieving results from AI assistants like Claude and Cursor.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i0eeij5jgq)
- **Repository:** <https://github.com/runcomfy-com/runcomfy-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": "runcomfy-com-runcomfy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/runcomfy-com-runcomfy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/runcomfy-com-runcomfy-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