Runcomfy MCP Server

RunComfy MCP

MCP server for the RunComfy Serverless API (ComfyUI). Manage deployments, run inference, and retrieve results from AI assistants like Claude, Cursor, and Windsurf.

Website: www.runcomfy.com

Endpoint: https://mcp.runcomfy.com/mcp

Docs: docs.runcomfy.com/mcp

---

What it does

10 tools that mirror docs.runcomfy.com/serverless 1:1:

---

Quick setup

Claude Code

claude mcp add runcomfy \
  --transport streamable-http \
  https://mcp.runcomfy.com/mcp \
  --header "Authorization: Bearer <YOUR_RUNCOMFY_TOKEN>"

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "runcomfy": {
      "url": "https://mcp.runcomfy.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_RUNCOMFY_TOKEN>"
      }
    }
  }
}

Windsurf

Add to Windsurf Settings > MCP:

{
  "mcpServers": {
    "runcomfy": {
      "serverUrl": "https://mcp.runcomfy.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_RUNCOMFY_TOKEN>"
      }
    }
  }
}

Get your API token from your Profile page.

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Architecture

MCP Client  ──Bearer token──>  Cloudflare Worker (/mcp)
                                      │
                                      ▼
                              Cloudflare Container
                              (Python FastMCP app)
                                      │
                                      ▼
                              api.runcomfy.net
                              (using caller's token)

• Cloudflare Worker (src/index.ts) — thin proxy: CORS, body size check, forwards the caller's token to the container. No auth logic — api.runcomfy.net handles authentication.
• Python container (server.py) — FastMCP app with 10 tools. Uses the caller's token (forwarded via x-runcomfy-user-token header) for all outbound API calls. Each user sees only their own deployments.
• Cloudflare Container auto-starts on first request, sleeps after 10 minutes idle.

---

Project layout

src/index.ts          Cloudflare Worker entrypoint
server.py             MCP tool definitions (10 tools)
runcomfy_client.py    RunComfy API client (serverless endpoints)
container_app.py      ASGI middleware (request IDs, token forwarding)
container_entrypoint.py  Uvicorn startup
container_runtime.py  Env validation, structured logging
wrangler.jsonc        Cloudflare Worker + Container config
Dockerfile            Container image
.env.example          Local dev config

---

Local development

# Python 3.11+
python3.11 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
# Set RUNCOMFY_API_KEY in .env
python -m container_entrypoint

Local endpoints:

• http://127.0.0.1:8000/healthz
• http://127.0.0.1:8000/mcp

In local mode (no Worker), the Python app uses RUNCOMFY_API_KEY from .env for all outbound calls.

---

Deploy

Requires Cloudflare Workers Paid plan with Containers enabled.

npm install

# Set the API key secret (one-time)
npx wrangler secret put RUNCOMFY_API_KEY

# Deploy
CLOUDFLARE_ACCOUNT_ID=<your-account-id> npx wrangler deploy

The MCP endpoint goes live at https://mcp.runcomfy.com/mcp (custom domain configured in wrangler.jsonc).

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Environment variables

Worker secrets (set via wrangler secret put)

Worker vars (in wrangler.jsonc)

Local dev (.env file)