REPOGEO REPORT · LITE

AIDC-AI/Pixelle-MCP

Default branch main · commit b30e7496 · scanned 5/22/2026, 8:29:03 AM

GitHub: 1,021 stars · 136 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

28 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface AIDC-AI/Pixelle-MCP, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

hightopics#1
Add specific topics to improve categorization
Why:
COPY-PASTE FIX
```
aigc, multimodal-ai, comfyui, llm, ai-agent, workflow-automation, generative-ai, mcp-protocol
```

highreadme#2

Strengthen README's opening to clarify its role as a multimodal AIGC agent framework

Why:

CURRENT

<h1 align="center">🎨 Pixelle MCP - Omnimodal Agent Framework</h1>

<p align="center"><b>English</b> | <a href="README_CN.md">中文</a></p>

<p align="center">✨ An AIGC solution based on the MCP protocol, supporting both local ComfyUI and cloud ComfyUI (RunningHub) modes, seamlessly converting workflows into MCP tools with zero code.</p>

COPY-PASTE FIX

<h1 align="center">🎨 Pixelle MCP - Omnimodal Agent Framework</h1>

<p align="center"><b>English</b> | <a href="README_CN.md">中文</a></p>

<p align="center">✨ Pixelle MCP is an open-source **multimodal AIGC agent framework** that empowers developers to build and deploy AI agents for text, image, sound, and video generation. It leverages the MCP protocol and ComfyUI, offering both local and cloud execution modes for seamless workflow conversion into zero-code MCP tools.</p>

mediumhomepage#3
Add the project homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIX
```
https://pixelle.ai
```

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface AIDC-AI/Pixelle-MCP

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI API

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

OpenAI API · recommended 2×
langchain-ai/langchain · recommended 1×
run-llama/llama_index · recommended 1×
deepset-ai/haystack · recommended 1×
keras-team/keras · recommended 1×

CATEGORY QUERY
Seeking an open-source framework for generating diverse multimodal AI content through configurable workflows.
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. LlamaIndex (run-llama/llama_index)
3. Haystack (deepset-ai/haystack)
4. OpenAI API
5. Keras (keras-team/keras)
6. Pytorch Lightning (Lightning-AI/lightning)
AI recommended 6 alternatives but never named AIDC-AI/Pixelle-MCP. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need a solution to develop AI agents supporting text, image, and video generation with various LLMs.
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Hugging Face Transformers
4. Hugging Face Diffusers
5. Microsoft Semantic Kernel
6. OpenAI API
7. Google Cloud Vertex AI
8. Google AI Studio
9. AutoGPT
10. BabyAGI
AI recommended 10 alternatives but never named AIDC-AI/Pixelle-MCP. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of AIDC-AI/Pixelle-MCP?
pass
AI did not name AIDC-AI/Pixelle-MCP — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts AIDC-AI/Pixelle-MCP in production, what risks or prerequisites should they evaluate first?
pass
AI named AIDC-AI/Pixelle-MCP explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo AIDC-AI/Pixelle-MCP solve, and who is the primary audience?
pass
AI named AIDC-AI/Pixelle-MCP explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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AIDC-AI/Pixelle-MCP — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite