RRepoGEO

REPOGEO REPORT · LITE

Anarkh-Lee/universal-db-mcp

Default branch main · commit dc338cd7 · scanned 6/15/2026, 4:11:57 AM

GitHub: 831 stars · 81 forks

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 Anarkh-Lee/universal-db-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
  • highabout#1
    Provide an English description for the repository

    Why:

    CURRENT
    通用数据库 MCP 连接器：支持 MySQL、PostgreSQL、Oracle、MongoDB 等 17 种数据库，支持 Claude Desktop、Cursor、Windsurf、VS Code、ChatGPT 等 50+ 平台，用自然语言查询和分析数据
    COPY-PASTE FIX
    Universal Database MCP Connector: Connects AI assistants to 17+ databases (MySQL, PostgreSQL, Oracle, MongoDB, etc.) and 50+ platforms (Claude Desktop, Cursor, ChatGPT, VS Code), enabling natural language data querying and analysis.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai, natural-language-processing, database-connector, llm, data-analysis, mcp, http-api, chatgpt, claude, cursor
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/Anarkh-Lee/universal-db-mcp

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 Anarkh-Lee/universal-db-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Dataherald · recommended 1×
  4. DB-GPT · recommended 1×
  5. Microsoft Power BI · recommended 1×
  • CATEGORY QUERY
    How to let AI assistants query and analyze diverse databases using natural language?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Dataherald
    4. DB-GPT
    5. Microsoft Power BI
    6. Tableau
    7. Google Cloud's BigQuery ML

    AI recommended 7 alternatives but never named Anarkh-Lee/universal-db-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a universal connector for AI tools to interact with multiple database systems.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Dremio
    4. Apache Hop
    5. Striim

    AI recommended 5 alternatives but never named Anarkh-Lee/universal-db-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 Anarkh-Lee/universal-db-mcp?
    pass
    AI did not name Anarkh-Lee/universal-db-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 Anarkh-Lee/universal-db-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Anarkh-Lee/universal-db-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 Anarkh-Lee/universal-db-mcp solve, and who is the primary audience?
    pass
    AI named Anarkh-Lee/universal-db-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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Anarkh-Lee/universal-db-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