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    1. Home
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    3. ComfyUI MCP
    ComfyUI MCP icon

    ComfyUI MCP

    MCP Servers

    A local-first, agent-native MCP server and Claude Code plugin that lets any LLM generate images, video, and audio, author workflows, and manage models in ComfyUI via natural language.

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    At a Glance

    Pricing
    Open Source

    Fully free and open-source under the MIT license. Install via npx or npm.

    Engagement

    Available On

    Windows
    macOS
    Linux
    iOS
    API

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    MCP ServersImageAgent Frameworks

    Alternatives

    Mobbin MCPAtlassian Rovo MCP ServerCupertino
    Developer
    Arthur Longbottom (artokun)San Diego, CA

    Listed Sep 2026

    About ComfyUI MCP

    ComfyUI MCP is an open-source MCP server and Claude Code plugin built by @artokun, a regular contributor to the Comfy-Org frontend and Python core. It connects AI assistants — Claude, ChatGPT, Gemini, Ollama, or any OpenAI-compatible model — to a running ComfyUI instance, whether local, remote, or on Comfy Cloud, and lets them operate the full pipeline in natural language. The project is published on npm as comfyui-mcp and is available under the MIT license.

    What It Is

    ComfyUI MCP is described by its author as "not a thin prompt-to-image bridge — a full agent that operates ComfyUI for you." Where most ComfyUI MCP servers forward a prompt and return an image, this project exposes 38 MCP tools that cover the entire ComfyUI surface: workflow authoring and execution, model search and download, custom node management, VRAM control, process control, diagnostics, and a compact DSL for round-tripping workflow graphs. A Claude Code plugin layer adds 42 AI skills, 11 slash commands, 4 autonomous agents, and 3 hooks on top of those tools.

    Tool Surface and Capabilities

    The 38 MCP tools are organized into functional groups:

    • Generation — generate_image with actions for text-to-image, ControlNet, IP-Adapter, video (LTX-2.3), 3D, upscale, background removal, and audio (ACE Step 1.5, Stable Audio 3)
    • Workflow authoring — create_workflow (templates: txt2img, img2img, upscale, inpaint, controlnet, ip_adapter, audio), visualize_workflow (Mermaid render, DSL round-trip), get_workflow (strip/slice to de-virtualize Get/Set buses and rgthree toggle monoliths)
    • Model management — download_model (HuggingFace, CivitAI), list_local_models (list, remove, path management)
    • Custom nodes — install, update, snapshot, bisect via ComfyUI-Manager; search_custom_nodes against the Comfy Registry
    • Process and memory — restart_comfyui, clear_vram, get_system_stats, get_history with full Python tracebacks and a diagnose action
    • Generation tracker — every enqueue_workflow call logs to a local SQLite database; get_history action:"suggest" surfaces proven sampler/CFG/steps combos from local history

    The Claude Code plugin adds slash commands (/comfy:gen, /comfy:debug, /comfy:batch, /comfy:recipe, /comfy:viz, and more), four autonomous agents (explorer, debugger, optimizer, researcher), and hooks including a VRAM watchdog and a job-completion notifier.

    Deployment Model

    The server targets three deployment shapes from a single config:

    • Local — auto-detects a ComfyUI install and port on macOS, Linux, or Windows; no flags needed
    • Remote — --comfyui-url points at a RunPod pod, VPS, LAN host, or reverse-proxied instance; --tunnel opens a Cloudflare quick tunnel and prints a ready-to-paste HTTPS URL for Claude Desktop's Custom Connectors
    • Comfy Cloud — set COMFYUI_API_KEY to route requests through cloud.comfy.org

    A connect subcommand runs the panel orchestrator locally and drives a remote ComfyUI from the user's own Claude or ChatGPT subscription, with no agent software installed on the remote box.

    Multi-LLM and Local-Model Support

    The panel orchestrator uses a provider-neutral AgentBackend port with adapters for Claude (via @anthropic-ai/claude-agent-sdk), ChatGPT/Codex (via @openai/codex), Gemini CLI, Grok, Kimi, GLM, and any Ollama or OpenAI-compatible endpoint. The author publishes a QLoRA fine-tuned Gemma 4 model (artokun/gemma4-comfyui-mcp) trained on 1,055 server-verified trajectories for fully offline use. A compact tool mode (--compact) registers three meta-tools instead of the full set, reducing context pressure for smaller local models.

    Update: v0.52.167

    The latest release is v0.52.167, published on 2026-09-01. The GitHub repository shows active development with the last push on 2026-09-02. The project has accumulated 711 stars and 109 forks since its creation in February 2026. Recent additions documented in the README include the ComfyUI Agent Panel (available on ComfyUI-Manager and the Comfy Registry), 56 installer packs covering model families such as Flux, WAN, LTX-2.3, MiniMax H3, Qwen, Z-Image, Ideogram 4, ERNIE, and ANIMA, and the kitchen tool for GPU-specific performance assessment. The --tunnel flag for remote/hosted connector mode and the comfy_cli integration (requiring comfy-cli ≥ 1.11.1) are also recent additions.

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    Pricing

    OPEN SOURCE

    Open Source

    Fully free and open-source under the MIT license. Install via npx or npm.

    • 38 MCP tools
    • 42 AI skills
    • 56 installer packs
    • 11 slash commands
    • 4 autonomous agents

    Capabilities

    Key Features

    • 38 MCP tools covering image, video, audio generation, workflow authoring, model management, and diagnostics
    • Text-to-image generation with ControlNet and IP-Adapter conditioning
    • Video generation via LTX-2.3 and audio generation via ACE Step 1.5 and Stable Audio 3
    • Workflow authoring with templates, DSL round-trip, Mermaid visualization, and graph de-virtualization
    • Model search and download from HuggingFace and CivitAI
    • Custom node management via ComfyUI-Manager and Comfy Registry
    • VRAM watchdog hook and clear_vram tool
    • Claude Code plugin with 11 slash commands, 42 AI skills, 4 autonomous agents, and 3 hooks
    • Multi-LLM support: Claude, ChatGPT, Gemini, Ollama, and any OpenAI-compatible endpoint
    • Local, remote (RunPod, VPS, LAN), and Comfy Cloud deployment from one config
    • Cloudflare tunnel for remote/hosted connector mode
    • Compact tool mode for small local models
    • Fine-tuned Gemma 4 model for fully offline use
    • 56 installer packs for model families including Flux, WAN, LTX-2.3, Qwen, Ideogram 4
    • SQLite generation tracker with sampler/CFG suggestion from local history
    • Parameter sweep batch generation across cfg, sampler, steps, seed, and more
    • Workflow validation, debugging, and autonomous diagnosis agents
    • Process control: start, stop, restart ComfyUI
    • PNG metadata extraction to recover embedded workflows

    Integrations

    ComfyUI
    Claude Code
    Claude Desktop
    ChatGPT / OpenAI Codex
    Gemini CLI
    Ollama
    OpenRouter
    HuggingFace
    CivitAI
    Comfy Cloud
    ComfyUI-Manager
    Comfy Registry
    RunPod
    Docker
    Cloudflare Tunnel
    comfy-cli
    LM Studio
    llama.cpp
    DeepSeek
    GLM
    Kimi
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Arthur Longbottom (artokun)

    Arthur Longbottom (@artokun) builds ComfyUI MCP, a local-first agent control plane for ComfyUI, and maintains it as an active open-source project under the MIT license. He is a regular contributor to Comfy-Org/ComfyUI_frontend (v2 graph renderer, subgraph rendering, promoted widgets) and the ComfyUI Python core. He also publishes fine-tuned local LLMs optimized for ComfyUI tool-calling tasks.

    San Diego, CA
    Read more about Arthur Longbottom (artokun)
    WebsiteGitHubX / Twitter
    1 tool in directory

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