RRepoGEO

REPOGEO REPORT · LITE

arabold/docs-mcp-server

Default branch main · commit e1a7e199 · scanned 5/23/2026, 4:57:01 AM

GitHub: 1,354 stars · 153 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 arabold/docs-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
    Clarify 'MCP Server' as 'Multi-Context Protocol Server' in README H1 and opening sentence

    Why:

    CURRENT
    # Grounded Docs: Your AI's Up-to-Date Documentation Expert

**Docs MCP Server** solves the problem of AI hallucinations and outdated knowledge by providing a personal, always-current documentation index for your AI coding assistant.
    COPY-PASTE FIX
    # Grounded Docs: Your AI's Up-to-Date Documentation Expert (Multi-Context Protocol Server)

**Grounded Docs MCP Server** (Multi-Context Protocol Server) solves the problem of AI hallucinations and outdated knowledge by providing a personal, always-current documentation index for your AI coding assistant.
  • mediumtopics#2
    Add more specific AI/LLM context topics

    Why:

    CURRENT
    agentic-ai, copilot, cursor, llm, mcp, vscode, windsurf
    COPY-PASTE FIX
    ai-coding-assistant, llm-context, documentation-ai, hallucination-prevention, multi-context-protocol, llm-grounding, retrieval-augmented-generation, knowledge-base, agentic-ai, copilot, cursor, llm, vscode
  • lowcomparison#3
    Add a 'Comparison with LLM Frameworks & Vector Databases' section to README

    Why:

    COPY-PASTE FIX
    ## 🆚 Grounded Docs vs. LLM Frameworks & Vector Databases
Grounded Docs MCP Server is a complete, ready-to-use solution for providing up-to-date, version-specific documentation context directly to your AI coding assistant. While tools like LlamaIndex and LangChain are frameworks for building LLM applications, and Chroma or Pinecone are vector databases for storing embeddings, Grounded Docs is a higher-level application that *uses* similar concepts to deliver a focused, end-to-end experience for documentation grounding, rather than a component to integrate.

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 arabold/docs-mcp-server
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. OpenAI Fine-tuning API · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Neo4j · recommended 1×
  • CATEGORY QUERY
    How to prevent AI coding assistants from hallucinating with current documentation?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. OpenAI Fine-tuning API
    4. Hugging Face Transformers
    5. Neo4j
    6. Grakn
    7. Vaticle's TypeDB
    8. Read the Docs
    9. GitBook

    AI recommended 9 alternatives but never named arabold/docs-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to provide private, version-specific documentation context for my local LLM coding assistant?
    you: not recommended
    AI recommended (in order):
    1. Chroma
    2. Weaviate
    3. FAISS
    4. Pinecone
    5. Qdrant
    6. Milvus
    7. LanceDB

    AI recommended 7 alternatives but never named arabold/docs-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 arabold/docs-mcp-server?
    pass
    AI named arabold/docs-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 arabold/docs-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named arabold/docs-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 arabold/docs-mcp-server solve, and who is the primary audience?
    pass
    AI did not name arabold/docs-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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arabold/docs-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