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ComfyUI Builder

mit9/mcp-comfy-ui-builder
2STDIOregistry active
Summary

Hooks Claude directly into ComfyUI's node system and execution engine. You get 50+ tools spanning node discovery, a dynamic workflow builder, nine templates (txt2img, img2img, ControlNet, etc.), and real-time WebSocket execution with sub-second progress updates. Seeds a local knowledge base of ComfyUI nodes that syncs from running instances or ComfyUI-Manager packs. Handles model management, queue control, batch runs, and output downloads. The workflow builder lets you assemble pipelines programmatically instead of hand-editing JSON. Useful when you're prototyping image generation flows in Claude and want to execute them against a local ComfyUI server without context-switching to the web UI.

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mcp-comfy-ui-builder

CI npm Docker License: MIT

ComfyUI Node Discovery — seed knowledge base and MCP tools for Cursor/Claude.
Publishable to the MCP Registry via server.json and mcpName.

What is this

  • Knowledge base: Seed knowledge/base-nodes.json and node-compatibility.json from bundled data (62 seed nodes; 100–600+ after sync). No external services required for suggest/build.
  • Sync: Custom packs from ComfyUI-Manager; nodes from running ComfyUI via sync-nodes CLI or on MCP startup.
  • MCP server (50+ tools): Node discovery, dynamic workflow builder, 9 templates (txt2img, txt2img_flux, img2img, …), WebSocket real-time execution, batch/chain, model management, plugin system.
  • Real-time execution: Sub-second progress via WebSocket with automatic polling fallback; ~90% less network traffic for batch runs.

Install

npm install mcp-comfy-ui-builder

Or from source: git clone https://github.com/MIt9/mcp-comfy-ui-builder.git && cd mcp-comfy-ui-builder && npm install

Quick start

  1. Build (postbuild fills knowledge from seed)

    npm run build
    npm run mcp
    
  2. Use knowledge in code

    import baseNodes from './knowledge/base-nodes.json' assert { type: 'json' };
    

Commands

CommandDescription
npm run seedFill knowledge from seed. Use --force to overwrite.
npm run sync-managerUpdate custom packs list from ComfyUI-Manager
npm run sync-nodesSync nodes from running ComfyUI to knowledge base (requires COMFYUI_HOST)
npm testRun tests (vitest)
npm run mcpStart MCP server (after npm run build)

Documentation

Single entry point — task-oriented navigation:

  • doc/README.md — where to start, task-based navigation
  • doc/INDEX.md — complete list of documents and links
  • doc/QUICK-REFERENCE.md — commands, examples, troubleshooting
  • doc/GETTING-STARTED.md — quick start
  • doc/MCP-SETUP.md — connect MCP in Cursor/Claude
  • doc/DOCKER-SETUP.md — docker pull siniidrozd/mcp-comfy-ui-builder | docker-compose for MCP + ComfyUI
  • Knowledge base: knowledge/README.md, doc/knowledge-base-usage-guide.md
  • Workflow Builder: doc/workflow-builder.md — templates, params, save/load, ComfyUI format
  • Planning: ROADMAP.md, NEXT-STEPS.md, TODO.md — current v2.3.x, next Phase 10 (QoL)
  • Contributing: CONTRIBUTING.md
  • MCP Registry: server.json and mcpName in package.json; see MCP Registry quickstart to publish after npm publish.

Requirements

  • Node.js 18+

MCP Server (Cursor / Claude)

Server provides 50+ tools across 9 categories:

Core Features

Node Discovery:

  • list_node_types, get_node_info, check_compatibility, suggest_nodes
  • discover_nodes_live, search_nodes, sync_nodes_to_knowledge

Dynamic Workflow Builder:

  • create_workflow, add_node, connect_nodes, validate_workflow
  • Build workflows programmatically without JSON manipulation

Templates & Macros:

  • list_templates, build_workflow — Pre-built templates (txt2img, img2img, inpainting, upscale, LoRA, ControlNet, batch)
  • create_template, apply_template — Parameterized templates
  • list_macros, insert_macro — Reusable sub-workflows

Real-time execution 📡

  • execute_workflow_sync — Execute with WebSocket progress streaming (sub-second updates)
  • execute_workflow_stream — Full event history collection (WebSocket-only)
  • get_execution_progress — Real-time progress with node-level granularity
  • execute_batch — Concurrent execution with 90% reduced network traffic
  • execute_chain — Sequential workflows with data passing

Resources & Model Management:

  • get_system_resources — GPU/VRAM/RAM + recommendations (max resolution, model size, batch size); call first before building workflows to avoid OOM
  • list_models, check_model_exists, get_workflow_models
  • Supports checkpoint, lora, vae, controlnet, upscale, embedding, clip

Outputs & Queue:

  • list_outputs, download_output, download_all_outputs
  • list_queue, interrupt_execution, clear_queue

Plugins:

  • list_plugins, reload_plugins — Data-only plugin system

Install (requires COMFYUI_PATH):

  • install_custom_node, install_model — Install nodes and models via ComfyUI-Manager

WebSocket features

  • <100ms latency for progress updates (vs 1.5s polling)
  • Node-level tracking: See exactly which node is executing with progress percentage
  • Automatic fallback: Gracefully falls back to polling if WebSocket unavailable
  • Shared connection: Single WebSocket for batch/chain execution (90% reduced traffic)

Set COMFYUI_HOST environment variable for execution/model/output tools:

export COMFYUI_HOST="http://localhost:8188"

See doc/MCP-SETUP.md for full tool list and doc/WEBSOCKET-GUIDE.md for real-time features.

Running MCP

From project root, first build the project, then start the server:

npm run build
npm run mcp

Or without npm: node dist/mcp-server.js. Server works via stdio (stdin/stdout). More details → doc/MCP-SETUP.md.

Connect MCP (Cursor / Claude)

What you need: Node.js 18+, one-time build (npm run build), absolute path to dist/mcp-server.js, restart after config change. If the server fails to start with «spawn node ENOENT», use the full path to node in command (run which node and put that path). See doc/MCP-SETUP.md → Troubleshooting.

Minimal config (knowledge and workflow tools only):

{
  "mcpServers": {
    "comfy-ui-builder": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/mcp-comfy-ui-builder/dist/mcp-server.js"]
    }
  }
}

Use full path in command (e.g. "/opt/homebrew/bin/node") if Cursor/IDE reports «spawn node ENOENT».

With ComfyUI execution (execute_workflow, get_execution_status, list_outputs, etc.): add "env": { "COMFYUI_HOST": "http://127.0.0.1:8188" } to the server block. See doc/MCP-SETUP.md for full checklist, optional env vars (COMFYUI_PATH, COMFYUI_KNOWLEDGE_DIR), and troubleshooting.

Publish on GitHub

  1. Create a new repository on GitHub: name mcp-comfy-ui-builder, visibility Public (or Private). Do not initialize with README, .gitignore, or license (project already has them).

  2. Add remote and push:

    git remote add origin https://github.com/MIt9/mcp-comfy-ui-builder.git
    git branch -M main
    git push -u origin main
    
  3. If you fork this repo, replace MIt9 with your GitHub username in the URLs above.

Cursor: Settings → MCP; Claude Desktop: config file ~/Library/Application Support/Claude/claude_desktop_config.json (macOS). Replace the path with your absolute path to dist/mcp-server.js, then restart the app. Full guide: doc/MCP-SETUP.md.

License

MIT

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Configuration

COMFYUI_HOST

ComfyUI API URL (e.g. http://127.0.0.1:8188). Required for execution, queue, outputs.

COMFYUI_PATH

Path to ComfyUI install. Required for install_custom_node, install_model.

COMFYUI_KNOWLEDGE_DIR

Path to knowledge directory (default: package knowledge/). Use when MCP runs from different cwd.

Categories
Documents & KnowledgeAutomation & Workflows
Registryactive
Packagemcp-comfy-ui-builder
TransportSTDIO
UpdatedFeb 3, 2026
View on GitHub

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