ComfyUI
ComfyUI MCP Server provides a bridge between AI assistants and ComfyUI's image generation capabilities. Built with Python, it exposes two main tools: text-to-image generation with customizable parameters (prompt, seed, steps, CFG scale, and denoise strength) and image downloading functionality. The server communicates with ComfyUI via WebSocket connections, processes workflow templates from JSON files, and supports both URL-based and binary image returns. It features Docker support with both standard and SSE transport options, authentication capabilities for secure ComfyUI instances, and environment variable configuration. This implementation is particularly valuable for developers who want to integrate AI image generation into conversational interfaces without managing the complexities of ComfyUI's workflow system directly.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/overseer66/comfyui-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve ComfyUI from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.