RunComfy MCP

by runcomfy-com

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About

fficial remote MCP server for RunComfy's Serverless API (ComfyUI): manage GPU deployments and run async image/video inference.

Details

Author
runcomfy-com
Categories
Design, Other, Cloud Service, Infrastructure

Setup

Install RunComfy MCP in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/runcomfy-com/runcomfy-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

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

10 tools that mirrordocs.runcomfy.com/serverless1:1:

claude mcp add runcomfy \ --transport streamable-http \ https://mcp.runcomfy.com/mcp \ --header "Authorization: Bearer <YOUR_RUNCOMFY_TOKEN>"
{ "mcpServers": { "runcomfy": { "url": "https://mcp.runcomfy.com/mcp", "headers": { "Authorization": "Bearer <YOUR_RUNCOMFY_TOKEN>" } } } }
{ "mcpServers": { "runcomfy": { "serverUrl": "https://mcp.runcomfy.com/mcp", "headers": { "Authorization": "Bearer <YOUR_RUNCOMFY_TOKEN>" } } } }

Get your API token from yourProfilepage.

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.nethandles authentication.
- Python container(server.py) — FastMCP app with 10 tools. Uses the caller's token (forwarded viax-runcomfy-user-tokenheader) for all outbound API calls. Each user sees only their own deployments.
- Cloudflare Containerauto-starts on first request, sleeps after 10 minutes idle.

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
# 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

- http://127.0.0.1:8000/healthz
- http://127.0.0.1:8000/mcp

In local mode (no Worker), the Python app usesRUNCOMFY_API_KEYfrom.envfor all outbound calls.

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 athttps://mcp.runcomfy.com/mcp(custom domain configured inwrangler.jsonc).

Worker secrets (set viawrangler secret put)

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