ComfyUI MCP Server
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- AlicenseNot gradedqualityDmaintenanceEnables discovery of ComfyUI nodes and building/managing workflows with real-time execution via WebSocket. Provides 50+ tools for node discovery, workflow building, template usage, model management, and batch/chain execution.89 npm3MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to interact with local ComfyUI installations to list nodes, validate workflows, and execute image generation workflows directly without requiring an HTTP server.1MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI agents to generate and iteratively refine images, audio, and video by interacting with a local ComfyUI instance through natural conversation. It provides comprehensive tools for workflow management, node introspection, and publishing generated assets.Apache 2.0
- AlicenseAqualityFmaintenanceEnables Claude Desktop to interact with local ComfyUI installations for AI-powered image generation, including workflow management, model selection, real-time monitoring, and custom workflow execution through natural language.1443,607 npm18MIT
- FlicenseBqualityDmaintenanceEnables orchestration of ComfyUI workflows through natural language by discovering workflow templates, applying mutations, and submitting prompts to running ComfyUI instances. Provides asset validation and lightweight tooling for AI image generation experimentation.3-
- AlicenseNot gradedqualityDmaintenanceEnables Claude to generate images via ComfyUI from natural language requests, automating workflow construction and execution.1MIT
TDQS
Scored across 31 tools
Most tools have distinct purposes, but there is some overlap between execute_workflow, run_workflow, and generate_image that could cause confusion. For example, generate_image is described as a simplified interface, but its relationship to the other execution tools isn't entirely clear from the descriptions alone. However, the majority of tools target specific operations like workflow management, node handling, and system monitoring.
Tool names follow a consistent verb_noun pattern throughout, such as add_node, cancel_current, clear_queue, and get_history. There are no deviations in naming conventions, making it easy to predict what each tool does based on its name. This consistency enhances usability for agents.
With 31 tools, the count is borderline high for a single server, potentially overwhelming for agents. While ComfyUI is a complex system with many operations, some tools like generate_workflow_name and get_system_stats might be considered non-essential, contributing to a slightly bloated interface. A more focused set could improve coherence.
The tool surface comprehensively covers the ComfyUI domain, including workflow creation, modification, execution, monitoring, and system management. It supports full CRUD-like operations for workflows and nodes, provides templates and history, and handles edge cases like validation and conversion. No obvious gaps are present for the stated purpose.