c

comfy-ui-builder

@MIt9/comfy-ui-builder
Hosted
1 Stars 168 次浏览 MIt9 更新于 2026-08-23

ComfyUI MCP server: knowledge base, workflow builder, real-time execution, models, plugins.

MCP 服务配置

复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用

{
  "mcpServers": {
    "mcp-comfy-ui-builder": {
      "args": [
        "mcp-comfy-ui-builder@2.4.1"
      ],
      "command": "npx"
    }
  }
}

可用工具 (5 个)

该服务在 MCP 协议中暴露的工具,AI 可按需调用

tavily_search 14 个参数 需填 1 项

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数:query

tavily_extract 6 个参数 需填 1 项

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数:urls

tavily_crawl 11 个参数 需填 1 项

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数:url

tavily_map 8 个参数 需填 1 项

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数:url

tavily_research 2 个参数 需填 1 项

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数:input

服务介绍

mcp-comfy-ui-builder

CI
npm
Docker

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

| Command | Description |
|- -- -- -- --|- -- -- -- -- -- --|
| npm run seed | Fill knowledge from seed. Use - -force to overwrite. |
| npm run sync-manager | Update custom packs list from ComfyUI-Manager |
| npm run sync-nodes | Sync nodes from running ComfyUI to knowledge base (requires COMFYUI_HOST) |
| npm test | Run tests (vitest) |
| npm run mcp | Start MCP server (after npm run build) |

# Documentation

Single entry point — task-oriented navigation:

# 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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