RRepoGEO

REPOGEO REPORT · LITE

designcomputer/mysql_mcp_server

Default branch main · commit 07f6a303 · scanned 5/8/2026, 7:36:35 PM

GitHub: 1,247 stars · 235 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 designcomputer/mysql_mcp_server, 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 opening to clarify "MCP" and AI application focus

    Why:

    CURRENT
    A Model Context Protocol (MCP) implementation that enables secure interaction with MySQL databases. This server component facilitates communication between AI applications (hosts/clients) and MySQL databases, making database exploration and analysis safer and more structured through a controlled interface. > **Note**: MySQL MCP Server is not designed to be used as a standalone server, but rather as a communication protocol implementation between AI applications and MySQL databases.
    COPY-PASTE FIX
    MySQL MCP Server is a specialized Model Context Protocol (MCP) implementation designed to provide AI applications with secure, controlled, and structured access to MySQL databases. It acts as an intelligent gateway, enabling AI models to safely explore, query, and interact with your data without direct database exposure, ensuring data integrity and security.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://smithery.ai/server/mysql-mcp-server
  • mediumreadme#3
    Add a "Why MySQL MCP Server?" or "Differentiators" section to the README

    Why:

    COPY-PASTE FIX
    ## Why MySQL MCP Server?
    Unlike generic MySQL proxies or ORMs (like SQLAlchemy or PyMySQL), MySQL MCP Server is purpose-built for AI applications. It provides:
    - **Controlled Interaction:** AI models interact through a defined protocol, preventing arbitrary or malicious queries.
    - **Enhanced Security:** Isolates AI applications from direct database credentials and complex SQL, reducing attack surface.
    - **Structured Context:** Translates database schemas into a context AI can understand, facilitating safer data exploration and analysis.
    - **AI-Native Design:** Specifically designed to integrate with AI hosts/clients like Claude Desktop, not just general database access.

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 designcomputer/mysql_mcp_server
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SQLAlchemy
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SQLAlchemy · recommended 2×
  2. PyMySQL · recommended 1×
  3. mysqlclient · recommended 1×
  4. HashiCorp Vault · recommended 1×
  5. AWS Secrets Manager · recommended 1×
  • CATEGORY QUERY
    How to enable AI applications to securely interact with and query MySQL databases?
    you: not recommended
    AI recommended (in order):
    1. SQLAlchemy
    2. PyMySQL
    3. mysqlclient
    4. HashiCorp Vault
    5. AWS Secrets Manager
    6. Azure Key Vault
    7. Google Secret Manager
    8. ProxySQL
    9. MySQL Enterprise Firewall
    10. OpenSSL

    AI recommended 10 alternatives but never named designcomputer/mysql_mcp_server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What solutions provide controlled and structured access for AI models to relational databases?
    you: not recommended
    AI recommended (in order):
    1. SQLAlchemy
    2. Django ORM
    3. Pandas
    4. Apache Superset
    5. dbt
    6. Dataiku DSS
    7. Google Cloud SQL
    8. Amazon RDS
    9. Azure SQL Database
    10. google-cloud-sql
    11. boto3
    12. azure-sdk-for-python

    AI recommended 12 alternatives but never named designcomputer/mysql_mcp_server. 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 designcomputer/mysql_mcp_server?
    pass
    AI named designcomputer/mysql_mcp_server explicitly

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

  • If a team adopts designcomputer/mysql_mcp_server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named designcomputer/mysql_mcp_server 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 designcomputer/mysql_mcp_server solve, and who is the primary audience?
    pass
    AI did not name designcomputer/mysql_mcp_server — 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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