RRepoGEO

REPOGEO REPORT · LITE

jina-ai/MCP

Default branch main · commit eeec7483 · scanned 6/4/2026, 2:17:58 AM

GitHub: 707 stars · 72 forks

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 jina-ai/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 the README's opening to prevent 'multi-cloud' misinterpretation

    Why:

    CURRENT
    # Jina AI Remote MCP Server

A remote Model Context Protocol (MCP) server that provides access to Jina Reader, Embeddings and Reranker APIs with a suite of URL-to-markdown, web search, image search, and embeddings/reranker tools:
    COPY-PASTE FIX
    # Jina AI Remote Model Context Protocol (MCP) Server: Web Content & AI API Gateway

This server provides a unified API for Jina AI's Reader, Embeddings, and Reranker services, offering tools for programmatic web content extraction (URL-to-markdown), web search, image search, and advanced text processing for AI applications.
  • highabout#2
    Update the repository description for clarity

    Why:

    CURRENT
    Official Jina AI Remote MCP Server
    COPY-PASTE FIX
    Official Jina AI server for Model Context Protocol (MCP), providing APIs for web content extraction, embeddings, and reranking for AI applications.
  • mediumtopics#3
    Expand repository topics to include core functionalities

    Why:

    CURRENT
    mcp, mcp-server
    COPY-PASTE FIX
    mcp, mcp-server, web-content-extraction, embeddings, reranking, ai-apis, llm-tools, web-search, url-to-markdown

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 jina-ai/MCP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Readability.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Readability.js · recommended 1×
  2. readability-lxml · recommended 1×
  3. buriy/python-readability · recommended 1×
  4. Alirun/html2text · recommended 1×
  5. jgm/pandoc · recommended 1×
  • CATEGORY QUERY
    How can I programmatically extract clean content from web pages into markdown?
    you: not recommended
    AI recommended (in order):
    1. Readability.js
    2. readability-lxml
    3. python-readability (buriy/python-readability)
    4. html2text (Alirun/html2text)
    5. pandoc (jgm/pandoc)
    6. go-readability (go-shiori/go-readability)
    7. Mercury Parser (postlight/mercury-parser)
    8. Trafilatura (adbar/trafilatura)
    9. Turndown (domchristie/turndown)

    AI recommended 9 alternatives but never named jina-ai/MCP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What services provide web content analysis, embeddings, and reranking for AI applications?
    you: not recommended
    AI recommended (in order):
    1. Cohere
    2. OpenAI
    3. Hugging Face
    4. Google Cloud Vertex AI
    5. Elasticsearch
    6. Pinecone
    7. Weaviate

    AI recommended 7 alternatives but never named jina-ai/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 jina-ai/MCP?
    pass
    AI named jina-ai/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 jina-ai/MCP in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jina-ai/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 jina-ai/MCP solve, and who is the primary audience?
    pass
    AI named jina-ai/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