ATH-MaaS/Pixelle-MCP

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1104 stars · 150 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Pixelle MCP is an open-source omnimodal AIGC framework that converts ComfyUI workflows (local or RunningHub cloud) into MCP tools with zero code. It bundles an MCP server, a Chainlit-based multimodal chat web interface, file services, and multi-LLM integration into a single deployable Python application.

Use cases

• turn ComfyUI workflows into MCP tools for Claude Desktop or Cursor
• generate images, video, and speech from text via an AI agent
• run a self-hosted multimodal AI chat server
• use cloud ComfyUI without a local GPU
• build an MCP server exposing AIGC capabilities
• chat with an LLM that can call image/audio/video generation tools
• deploy an AIGC service with Docker or pip

When to choose

• you want MCP-compatible multimodal generation tools without writing code
• you already use ComfyUI workflows and want them callable by LLM agents
• you need a self-hosted chat UI wired to multiple LLM providers and AIGC backends

When to avoid

• you need a lightweight library to embed in your own app rather than a full server
• you have no ComfyUI workflows and no interest in AIGC generation
• you require non-Python runtimes or managed cloud deployment out of the box

Facets

framework · maturity active

mcp agent-framework llm-inference image-processing video-processing speech-recognition tts chat-interface file-upload cli web-framework artificial-intelligence large-language-models image-processing chatbots self-hosted developer-tools python self-hosted cli cross-platform comfyui aigc workflow-as-tool mcp-server chainlit litellm runninghub multimodal zero-code text-to-image text-to-video text-to-speech ai-agents video audio docker web-server gpu

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markdown · JSON · MCP: product_card(name="ATH-MaaS/Pixelle-MCP")