RRepoGEO

REPOGEO REPORT · LITE

hustcc/mcp-mermaid

Default branch main · commit aef38070 · scanned 5/15/2026, 5:22:30 AM

GitHub: 554 stars · 51 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 hustcc/mcp-mermaid, 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 explicit AI-related topics

    Why:

    CURRENT
    mcp, mcp-server, mermaid, mermaidjs
    COPY-PASTE FIX
    mcp, mcp-server, mermaid, mermaidjs, ai-agents, generative-ai, llm-tools
  • highreadme#2
    Reposition the README H1 to specify AI agent focus

    Why:

    CURRENT
    # MCP Mermaid
    COPY-PASTE FIX
    # MCP Mermaid: AI-Powered Dynamic Diagram Generation for AI Agents
  • mediumabout#3
    Clarify the 'About' description for AI agents

    Why:

    CURRENT
    ❤️ Generate mermaid diagram and chart with AI MCP dynamically.
    COPY-PASTE FIX
    ❤️ Generate Mermaid diagrams and charts dynamically with AI MCP, specifically designed for AI assistants and agents.

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 hustcc/mcp-mermaid
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mermaid Live Editor API / CLI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mermaid Live Editor API / CLI · recommended 1×
  2. mermaid-cli · recommended 1×
  3. mermaid.js · recommended 1×
  4. pyppeteer · recommended 1×
  5. selenium · recommended 1×
  • CATEGORY QUERY
    How can I dynamically generate Mermaid diagrams and charts using an AI assistant?
    you: not recommended
    AI recommended (in order):
    1. Mermaid Live Editor API / CLI
    2. mermaid-cli
    3. mermaid.js
    4. pyppeteer
    5. selenium
    6. puppeteer
    7. GitHub's Mermaid Rendering
    8. PlantUML Server

    AI recommended 8 alternatives but never named hustcc/mcp-mermaid. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tool helps programmatically create Mermaid diagrams with SVG/PNG export for AI agents?
    you: not recommended
    AI recommended (in order):
    1. Mermaid CLI
    2. Puppeteer
    3. Python-Mermaid
    4. Mermaid Live Editor API

    AI recommended 4 alternatives but never named hustcc/mcp-mermaid. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 hustcc/mcp-mermaid?
    pass
    AI named hustcc/mcp-mermaid explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts hustcc/mcp-mermaid in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hustcc/mcp-mermaid 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 hustcc/mcp-mermaid solve, and who is the primary audience?
    pass
    AI named hustcc/mcp-mermaid explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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