ComfyUI Builder

Name: ComfyUI Builder
Author: MIt9

by MIt9version 2.4.1i★ –iRuns on your computer

Registry nameio.github.MIt9/comfy-ui-builder

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: COMFYUI_HOST, COMFYUI_PATH, COMFYUI_KNOWLEDGE_DIR

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "comfy-ui-builder": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-comfy-ui-builder"
      ],
      "env": {
        "COMFYUI_HOST": "your-value",
        "COMFYUI_PATH": "your-value",
        "COMFYUI_KNOWLEDGE_DIR": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add comfy-ui-builder --env COMFYUI_HOST=your-value --env COMFYUI_PATH=your-value --env COMFYUI_KNOWLEDGE_DIR=your-value -- npx -y mcp-comfy-ui-builder

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "comfy-ui-builder": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-comfy-ui-builder"
      ],
      "env": {
        "COMFYUI_HOST": "your-value",
        "COMFYUI_PATH": "your-value",
        "COMFYUI_KNOWLEDGE_DIR": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "comfy-ui-builder": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-comfy-ui-builder"
      ],
      "env": {
        "COMFYUI_HOST": "your-value",
        "COMFYUI_PATH": "your-value",
        "COMFYUI_KNOWLEDGE_DIR": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

COMFYUI_HOST env
ComfyUI API URL (e.g. http://127.0.0.1:8188). Required for execution, queue, outputs.
COMFYUI_PATH env
Path to ComfyUI install. Required for install_custom_node, install_model.
COMFYUI_KNOWLEDGE_DIR env
Path to knowledge directory (default: package knowledge/). Use when MCP runs from different cwd.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account MIt9, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7256 servers in this category
Published to the registry more recently than 2% of the other 7256 servers in this category
Basic checks equal to or better than 100% of the other 7256 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ComfyUI Builder safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.4.1) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

mcp-comfy-ui-builder

Control ComfyUI from Claude or Cursor — 50+ MCP tools for node discovery, dynamic workflow building, real-time WebSocket execution, and model management. No JSON editing required.

Tell your AI assistant what image to generate — it builds and runs the ComfyUI workflow for you. Works with Claude Desktop, Cursor, and any MCP-compatible client.

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

Build (postbuild fills knowledge from seed)

   npm run build

npm run mcp

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:

[doc/README.md](doc/README.md) — where to start, task-based navigation
[doc/INDEX.md](doc/INDEX.md) — complete list of documents and links
[doc/QUICK-REFERENCE.md](doc/QUICK-REFERENCE.md) — commands, examples, troubleshooting
[doc/GETTING-STARTED.md](doc/GETTING-STARTED.md) — quick start
[doc/MCP-SETUP.md](doc/MCP-SETUP.md) — connect MCP in Cursor/Claude
[doc/DOCKER-SETUP.md](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

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).
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

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

ComfyUI Builder

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

mcp-comfy-ui-builder

What is this

Install

Quick start

Commands

Documentation

Requirements

MCP Server (Cursor / Claude)

Core Features

WebSocket features

Running MCP

Connect MCP (Cursor / Claude)

Publish on GitHub

License