RRepoGEO

REPOGEO REPORT · LITE

reading-plus-ai/mcp-server-data-exploration

Default branch main · commit 0cd67660 · scanned 6/1/2026, 11:48:06 AM

GitHub: 539 stars · 64 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 reading-plus-ai/mcp-server-data-exploration, 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
    Clarify the README's opening to prevent miscategorization

    Why:

    CURRENT
    # MCP Server for Data Exploration

MCP Server is a versatile tool designed for interactive data exploration.
    COPY-PASTE FIX
    # MCP Server: An AI Assistant for Interactive Data Exploration

MCP Server is a versatile, AI-powered tool designed for interactive data exploration. It acts as your personal Data Scientist assistant, turning complex datasets into clear, actionable insights.
  • hightopics#2
    Add specific topics to improve AI categorization

    Why:

    COPY-PASTE FIX
    ai-assistant, data-exploration, csv-analysis, interactive-data, data-science-tool, generative-ai, llm-tool
  • mediumabout#3
    Add a concise About description

    Why:

    COPY-PASTE FIX
    An AI-powered server for interactive data exploration, turning complex CSV datasets into actionable insights with a personal Data Scientist assistant.

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 reading-plus-ai/mcp-server-data-exploration
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. Google Gemini · recommended 1×
  3. Microsoft Copilot · recommended 1×
  4. DataChat · recommended 1×
  5. Exploratory · recommended 1×
  • CATEGORY QUERY
    How can I use an AI assistant to interactively explore large CSV datasets?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Google Gemini
    3. Microsoft Copilot
    4. DataChat
    5. Exploratory
    6. Tableau Pulse
    7. Tableau Ask Data
    8. Mito

    AI recommended 8 alternatives but never named reading-plus-ai/mcp-server-data-exploration. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide AI-powered insights for complex data exploration from CSV files?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT Advanced Data Analysis
    2. Microsoft Excel
    3. Google Sheets
    4. Tableau Prep Builder
    5. Tableau Desktop
    6. Power BI
    7. DataRobot
    8. KNIME Analytics Platform

    AI recommended 8 alternatives but never named reading-plus-ai/mcp-server-data-exploration. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 reading-plus-ai/mcp-server-data-exploration?
    pass
    AI did not name reading-plus-ai/mcp-server-data-exploration — 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 reading-plus-ai/mcp-server-data-exploration in production, what risks or prerequisites should they evaluate first?
    pass
    AI named reading-plus-ai/mcp-server-data-exploration 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 reading-plus-ai/mcp-server-data-exploration solve, and who is the primary audience?
    pass
    AI did not name reading-plus-ai/mcp-server-data-exploration — 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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reading-plus-ai/mcp-server-data-exploration — RepoGEO report