RRepoGEO

REPOGEO REPORT · LITE

ref-tools/ref-tools-mcp

Default branch main · commit 83970a35 · scanned 5/20/2026, 1:07:51 AM

GitHub: 1,104 stars · 68 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
40 /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
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 ref-tools/ref-tools-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
    Update repository topics to remove 'mcp' and add relevant AI/RAG terms

    Why:

    CURRENT
    coding-agent, documentation-tool, mcp, mcp-server
    COPY-PASTE FIX
    ai-agents, rag, documentation, context-management, llm-tools, api-documentation, model-context-protocol
  • highreadme#2
    Reposition the README H1 to explicitly state its purpose for AI coding agents

    Why:

    CURRENT
    # Ref MCP
A ModelContextProtocol server that gives your AI coding tool or agent access to documentation for APIs, services, libraries etc.
    COPY-PASTE FIX
    # Ref Tools: ModelContextProtocol (MCP) Server for AI Coding Agents
A ModelContextProtocol (MCP) server that gives your AI coding tool or agent access to documentation for APIs, services, libraries, and more. It's your one-stop-shop to keep your agent up-to-date on documentation in a fast and token-efficient way, specifically designed to prevent context window waste.
  • mediumabout#3
    Enhance the repository description to include 'RAG' and clarify its function

    Why:

    CURRENT
    Helping coding agents never make mistakes working with public or private libraries without wasting the context window.
    COPY-PASTE FIX
    A ModelContextProtocol (MCP) server providing Retrieval Augmented Generation (RAG) for AI coding agents, enabling them to access accurate public and private library documentation efficiently without wasting context window tokens.

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 ref-tools/ref-tools-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Haystack · recommended 2×
  4. FAISS · recommended 1×
  5. Chroma · recommended 1×
  • CATEGORY QUERY
    How to provide AI coding agents with accurate documentation while minimizing context window usage?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. FAISS
    4. Chroma
    5. Pinecone
    6. Haystack
    7. OpenAI's `text-embedding-ada-002`
    8. Hugging Face Transformers
    9. Weaviate
    10. Milvus
    11. Qdrant
    12. Elasticsearch
    13. OpenSearch
    14. Neo4j
    15. Amazon Neptune

    AI recommended 15 alternatives but never named ref-tools/ref-tools-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI developer agents access external API and library documentation efficiently?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Assistants API
    4. Semantic Kernel
    5. Haystack
    6. Toolformer

    AI recommended 6 alternatives but never named ref-tools/ref-tools-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
    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 ref-tools/ref-tools-mcp?
    pass
    AI named ref-tools/ref-tools-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 ref-tools/ref-tools-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ref-tools/ref-tools-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 ref-tools/ref-tools-mcp solve, and who is the primary audience?
    pass
    AI named ref-tools/ref-tools-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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite