RRepoGEO

REPOGEO REPORT · LITE

antvis/mcp-server-chart

Default branch main · commit 33178096 · scanned 5/25/2026, 6:17:11 PM

GitHub: 4,098 stars · 380 forks

AI VISIBILITY SCORE
27 /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
1 / 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 antvis/mcp-server-chart, 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
  • highreadme#1
    Reposition README H1 and description to clarify LLM-powered chart server

    Why:

    CURRENT
    README H1: # MCP Server Chart
README opening: A Model Context Protocol server for generating charts using AntV. We can use this mcp server for _chart generation_ and _data analysis_.
Description: 🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.
    COPY-PASTE FIX
    README H1: # MCP Server Chart: LLM-Powered Chart Generation with AntV
README opening: An **LLM-powered Model Context Protocol (MCP) server** designed for generating diverse data charts using the AntV visualization library. This server enables advanced _chart generation_ and _data analysis_ capabilities through natural language interactions.
Description: 🤖 An LLM-powered Model Context Protocol (MCP) server for generating 25+ visual charts using @antvis, enabling chart generation and data analysis through natural language.
  • mediumtopics#2
    Add more specific topics for LLM-powered chart generation

    Why:

    CURRENT
    antv, llm, mcp, mcp-server, skills, visualization
    COPY-PASTE FIX
    antv, llm, mcp, mcp-server, skills, visualization, llm-server, chart-generation, data-visualization-api, generative-ai
  • mediumreadme#3
    Add a dedicated 'How it uses LLMs' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., `## 🧠 How it uses LLMs` with a brief explanation like: "This MCP server integrates with Large Language Models (LLMs) to interpret natural language queries and generate appropriate AntV charts. It acts as an intelligent backend for applications requiring dynamic, AI-driven data visualization."

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 antvis/mcp-server-chart
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Streamlit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Streamlit · recommended 1×
  2. OpenAI API · recommended 1×
  3. Altair · recommended 1×
  4. Plotly · recommended 1×
  5. Anthropic Claude · recommended 1×
  • CATEGORY QUERY
    What are good options for an LLM-powered server to generate data charts?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. OpenAI API
    3. Altair
    4. Plotly
    5. Anthropic Claude
    6. Google Gemini
    7. Gradio
    8. Matplotlib
    9. Seaborn
    10. Flask
    11. FastAPI
    12. Plotly Dash
    13. LlamaIndex
    14. LangChain
    15. Tableau
    16. Power BI

    AI recommended 16 alternatives but never named antvis/mcp-server-chart. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate robust data visualization capabilities into a TypeScript backend service?
    you: not recommended
    AI recommended (in order):
    1. Puppeteer
    2. Chart.js
    3. Apache ECharts
    4. Plotly.js
    5. D3.js
    6. QuickChart.io

    AI recommended 6 alternatives but never named antvis/mcp-server-chart. 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 antvis/mcp-server-chart?
    pass
    AI did not name antvis/mcp-server-chart — 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 antvis/mcp-server-chart in production, what risks or prerequisites should they evaluate first?
    pass
    AI named antvis/mcp-server-chart 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 antvis/mcp-server-chart solve, and who is the primary audience?
    pass
    AI did not name antvis/mcp-server-chart — 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?

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  • Brand-free category queries5 vs 2 in Lite
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