RRepoGEO

REPOGEO REPORT · LITE

designcomputer/mysql_mcp_server

Default branch main · commit dc0886f2 · scanned 6/18/2026, 11:21:22 AM

GitHub: 1,304 stars · 241 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /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
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's opening to clarify LLM/AI-to-MySQL purpose

    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.
    COPY-PASTE FIX
    The MySQL MCP Server is a Model Context Protocol (MCP) implementation that enables **secure and structured interaction between AI applications (LLMs, agents) and MySQL databases.** It acts as a controlled interface, making database exploration and analysis safer for generative AI.
  • mediumtopics#2
    Add more specific topics for LLM-database interaction

    Why:

    CURRENT
    ai, claude, claude-code, database, llm, mcp, mcp-server, model-context-protocol, mysql
    COPY-PASTE FIX
    ai, claude, claude-code, database, llm, mcp, mcp-server, model-context-protocol, mysql, llm-database-connector, ai-agent-database, secure-database-access, generative-ai
  • lowreadme#3
    Add a 'Comparison' section to README

    Why:

    COPY-PASTE FIX
    ## Comparison with other tools
Unlike generic MySQL proxies (e.g., ProxySQL, MaxScale) or secret managers (e.g., HashiCorp Vault), MySQL MCP Server is specifically designed to provide a secure, protocol-driven interface for AI applications and Large Language Models (LLMs) to interact with MySQL databases. Its focus is on safe schema exploration and query execution by AI agents, not database infrastructure management or credential storage.

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
HashiCorp Vault
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. HashiCorp Vault · recommended 1×
  2. AWS Secrets Manager · recommended 1×
  3. Azure Key Vault · recommended 1×
  4. Google Secret Manager · recommended 1×
  5. CyberArk Conjur · recommended 1×
  • CATEGORY QUERY
    How to securely connect large language models to MySQL databases?
    you: not recommended
    AI recommended (in order):
    1. HashiCorp Vault
    2. AWS Secrets Manager
    3. Azure Key Vault
    4. Google Secret Manager
    5. CyberArk Conjur
    6. Delinea Secret Server
    7. ProxySQL
    8. PgBouncer

    AI recommended 8 alternatives but never named designcomputer/mysql_mcp_server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for AI agents to safely query and explore MySQL database schemas?
    you: not recommended
    AI recommended (in order):
    1. TerminusDB (terminusdb/terminusdb)
    2. SchemaCrawler (schemacrawler/SchemaCrawler)
    3. SQLAlchemy (sqlalchemy/sqlalchemy)
    4. DBHawk
    5. DataGrip
    6. Apache Atlas (apache/atlas)

    AI recommended 6 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
    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 designcomputer/mysql_mcp_server?
    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?

  • 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 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?

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designcomputer/mysql_mcp_server — 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