pulsemcp scanned Safe content atomic mcp-remote

ComfyUI

This MCP server implementation provides a bridge to ComfyUI, a powerful UI for Stable Diffusion workflows. Developed by Karim Lalani, it enables AI assistants to generate images using custom ComfyUI workflows through natural language prompts. The server utilizes a JSON-defined workflow and integrates with the ComfyUI API, allowing for flexible image generation pipelines. It's particularly useful for AI-assisted creative tasks, prototyping visual concepts, and integrating advanced image generation capabilities into AI applications. The implementation focuses on ease of use and configurability, supporting customizable workflow parameters and seamless integration with Open WebUI.

Cognium trust score
64%
Tier
Scanned

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
devops-ci
Source
PulseMCP
Author type
human
Last scanned
2026-09-02
Updated
2026-09-02
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Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

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