RRepoGEO

REPOGEO REPORT · LITE

ref-tools/ref-tools-mcp

Default branch main · commit 83970a35 · scanned 7/1/2026, 11:23:17 AM

GitHub: 1,135 stars · 66 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
  • highreadme#1
    Clarify "MCP" acronym in README's opening paragraph

    Why:

    CURRENT
    A ModelContextProtocol server that gives your AI coding tool or agent access to documentation for APIs, services, libraries etc. It's your one-stop-shop to keep your agent up-to-date on documentation in a fast and token-efficient way.
    COPY-PASTE FIX
    Ref MCP (ModelContextProtocol) is a server that gives your AI coding tool or agent access to documentation for APIs, services, libraries etc. It's your one-stop-shop to keep your agent up-to-date on documentation in a fast and token-efficient way.
  • hightopics#2
    Update repository topics to remove misleading "mcp" and add relevant RAG/AI agent terms

    Why:

    CURRENT
    coding-agent, documentation-tool, mcp, mcp-server
    COPY-PASTE FIX
    coding-agent, documentation-tool, llm-agents, rag, context-management, api-documentation, knowledge-base
  • mediumreadme#3
    Add keywords related to RAG and context optimization to the README's introductory section

    Why:

    CURRENT
    Ref's tools are designed to match how models search while using as little context as possible to reduce context rot. The goal is to find exactly the context your coding agent needs to be successful while using minimum tokens.
    COPY-PASTE FIX
    Ref's tools are designed for Retrieval Augmented Generation (RAG), matching how models search while using as little context as possible to reduce context rot. The goal is to find exactly the context your coding agent needs to be successful while using minimum tokens, optimizing for token efficiency and reducing hallucinations.

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
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Pinecone · recommended 2×
  4. Weaviate · recommended 2×
  5. FAISS · recommended 2×
  • CATEGORY QUERY
    How to provide AI coding agents with accurate API documentation without context window bloat?
    you: not recommended
    AI recommended (in order):
    1. OpenAPI
    2. LangChain
    3. LlamaIndex
    4. OpenAI API
    5. Anthropic Claude
    6. Google Gemini
    7. Pydantic
    8. Chroma
    9. Pinecone
    10. Weaviate
    11. FAISS
    12. OpenAI Embeddings
    13. Cohere Embeddings
    14. CrewAI
    15. Microsoft AutoGen
    16. TypeSpec
    17. Protocol Buffers
    18. gRPC

    AI recommended 18 alternatives but never named ref-tools/ref-tools-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to improve AI agent accuracy when using external libraries by optimizing documentation access?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Weaviate
    5. Pinecone
    6. Qdrant
    7. Elasticsearch
    8. OpenSearch
    9. Sentence Transformers
    10. FAISS

    AI recommended 10 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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ref-tools/ref-tools-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