RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/mcpdoc

Default branch main · commit e6dfbadd · scanned 5/28/2026, 10:57:19 PM

GitHub: 995 stars · 122 forks

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 langchain-ai/mcpdoc, 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 the README's 'Overview' to clarify its specific function for AI coding assistants

    Why:

    CURRENT
    ## Overview

llms.txt is a website index for LLMs, providing background information, guidance, and links to detailed markdown files. IDEs like Cursor and Windsurf or apps like Claude Code/Desktop can use `llms.txt` to retrieve context for tasks. However, these apps use different built-in tools to read and process files like `llms.txt`. The retrieval process can be opaque, and there is not always a way to audit the tool calls or the context returned.
    COPY-PASTE FIX
    ## Overview

`langchain-ai/mcpdoc` is an open-source server designed to give developers *full control* over the documentation context provided to AI coding assistants and LLM-powered IDEs like Cursor, Windsurf, and Claude Code/Desktop. It allows you to serve user-defined `llms.txt` files and audit the context retrieved by these applications for tasks.
  • hightopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    agents, claude-code, cursor, ide, llms, llms-txt
    COPY-PASTE FIX
    agents, claude-code, cursor, ide, llms, llms-txt, ai-coding-assistant, documentation-server, developer-tools, context-retrieval
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    (add relevant URL here, e.g., https://langchain-ai.github.io/mcpdoc/)

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 langchain-ai/mcpdoc
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI API · recommended 1×
  5. Anthropic API · recommended 1×
  • CATEGORY QUERY
    How can I audit and control the documentation context provided to my AI coding assistant?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI API
    5. Anthropic API
    6. NLTK
    7. spaCy
    8. Pinecone
    9. Weaviate
    10. ChromaDB
    11. Git
    12. GitHub
    13. GitLab
    14. Bitbucket
    15. Read the Docs
    16. Sphinx
    17. MkDocs
    18. Confluence
    19. Jira

    AI recommended 19 alternatives but never named langchain-ai/mcpdoc. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a way to serve custom documentation files to LLM-powered development environments.
    you: not recommended
    AI recommended (in order):
    1. Read the Docs (readthedocs/readthedocs.org)
    2. Docusaurus (facebook/docusaurus)
    3. MkDocs (mkdocs/mkdocs)
    4. Sphinx (sphinx-doc/sphinx)
    5. GitBook
    6. Jekyll (jekyll/jekyll)
    7. Hugo (gohugoio/hugo)

    AI recommended 7 alternatives but never named langchain-ai/mcpdoc. 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 langchain-ai/mcpdoc?
    pass
    AI named langchain-ai/mcpdoc explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
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