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Manage ComfyUI deployments and run async inference via RunComfy Serverless API.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.runcomfy-com/runcomfy-mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-github-runcomfy-com-runcomfy-mcp' 'https://mcp.runcomfy.com/mcp'
Use the RunComfy MCP to create a new serverless deployment for my ComfyUI workflow and return the deployment ID and status.
A deployment result with the deployment ID, current status, and related basic details.
Submit an async inference request to a target deployment through RunComfy MCP and tell me the job ID and current processing status.
A returned async job ID and status information such as submitted, processing, or completed.
Check the latest status of this RunComfy async inference job and summarize it clearly.
The current job status, helping determine whether to keep waiting or fetch results.
Developers or DevOps users can use this MCP tool to manage RunComfy remote deployment capabilities and connect local or existing ComfyUI workflows to a serverless API. This reduces manual API handling.
When image generation or workflow execution is not suitable for synchronous waiting, this tool can submit async inference jobs and track status. It fits queued, polled, or background-processing scenarios.
This is a remote MCP server for the RunComfy Serverless API, focused on ComfyUI deployment management and async inference. Based on the provided description, its core capabilities are deployments and async inference.
From the available material, we can only confirm that it targets the RunComfy Serverless API. Whether it requires an API key, account, or specific runtime is not stated here; see the source repository.
Based on the description, it provides a remote MCP interface focused on serverless deployments and async inference rather than purely local execution. For more specific differences, see the source repository.
Connect to ComfyUI to inspect assets and run workflow jobs.
Connect to ComfyUI, run workflows, and return generated images inline.
Expose ComfyUI workflows as MCP tools for LLM-driven image generation.
Generate PNG images via remote ComfyUI and manage its lifecycle through MCP.
Generate image and 3D assets through ComfyUI workflows from AI assistants.
Let Claude Code inspect and edit ComfyUI workflows through MCP and terminal.