RRepoGEO

REPOGEO REPORT · LITE

supabase-community/supabase-mcp

Default branch main · commit 84f1c601 · scanned 6/30/2026, 4:02:31 AM

GitHub: 2,773 stars · 371 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
35 /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
3 / 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 supabase-community/supabase-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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai, llm, supabase, database-integration, model-context-protocol, mcp, ai-assistants
  • highreadme#2
    Add a direct purpose statement after the README H1

    Why:

    CURRENT
    # Supabase MCP Server

[](https://registry.modelcontextprotocol.io/?q=com.supabase%2Fmcp)
    COPY-PASTE FIX
    # Supabase MCP Server

This server enables AI assistants like Cursor and Claude to directly interact with your Supabase projects for data querying and management.

[](https://registry.modelcontextprotocol.io/?q=com.supabase%2Fmcp)
  • mediumcomparison#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, under the heading `## Comparison to General LLM Frameworks`, that explains how Supabase MCP specifically enables AI assistants to interact with Supabase projects via the Model Context Protocol, differentiating it from broader LLM integration tools like LangChain.

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 supabase-community/supabase-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. OpenAI API · recommended 2×
  3. Pinecone · recommended 1×
  4. Weaviate · recommended 1×
  5. Milvus · recommended 1×
  • CATEGORY QUERY
    How can I integrate my database with AI models for data querying and management?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Weaviate
    4. Milvus
    5. OpenAI Embeddings
    6. Cohere Embeddings
    7. Hugging Face Transformers
    8. Qdrant
    9. Chroma
    10. OpenAI GPT-4
    11. Anthropic Claude
    12. Google Gemini
    13. OpenAI API
    14. SQLBot
    15. Dataherald
    16. LangChain SQL Agent
    17. PostgreSQL
    18. pg_embedding
    19. pgvector
    20. Oracle Database 23c AI Vector Search
    21. MongoDB Atlas Vector Search
    22. Kinetica
    23. Rockset

    AI recommended 23 alternatives but never named supabase-community/supabase-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow large language models to interact with and modify database schemas?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. DB-GPT
    4. Hugging Face `transformers`
    5. OpenAI API
    6. SQLAlchemy

    AI recommended 6 alternatives but never named supabase-community/supabase-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 supabase-community/supabase-mcp?
    pass
    AI named supabase-community/supabase-mcp explicitly

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

  • If a team adopts supabase-community/supabase-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named supabase-community/supabase-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 supabase-community/supabase-mcp solve, and who is the primary audience?
    pass
    AI named supabase-community/supabase-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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supabase-community/supabase-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