RRepoGEO

REPOGEO REPORT · LITE

blazickjp/arxiv-mcp-server

Default branch main · commit 2116bf32 · scanned 5/17/2026, 2:36:28 AM

GitHub: 2,738 stars · 220 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
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 blazickjp/arxiv-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
    Reposition the README's opening to clarify purpose for AI assistants and LLM agents

    Why:

    CURRENT
    ArXiv MCP Server

> 🔍 Enable AI assistants to search and access arXiv papers through a simple MCP interface.

The ArXiv MCP Server provides a bridge between AI assistants and arXiv's research repository through the Model Context Protocol (MCP). It allows AI models to search for papers and access their content in a programmatic way.
    COPY-PASTE FIX
    The ArXiv MCP Server is a dedicated backend for AI assistants and LLM agents, enabling them to search and access arXiv papers via the Model Context Protocol (MCP). This server acts as a bridge, allowing AI models to programmatically interact with arXiv's research repository.
  • mediumabout#2
    Add the project homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://smithery.ai/server/arxiv-mcp-server
  • lowreadme#3
    Add an explicit clarification about the 'MCP' acronym in the README

    Why:

    COPY-PASTE FIX
    Note: MCP stands for Model Context Protocol, a standard for AI assistant integration, and is not related to 'Multi-Core Processor' systems.

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 blazickjp/arxiv-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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. Haystack · recommended 1×
  3. Elasticsearch · recommended 1×
  4. SciBERT / BioBERT · recommended 1×
  5. Glean · recommended 1×
  • CATEGORY QUERY
    How can I integrate AI models to search and analyze academic research papers?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. Elasticsearch
    4. SciBERT / BioBERT
    5. Glean
    6. Neo4j

    AI recommended 6 alternatives but never named blazickjp/arxiv-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python tool to enable LLM agents to access and summarize arXiv content.
    you: not recommended
    AI recommended (in order):
    1. arxiv
    2. PyPDF2
    3. pypdf
    4. LangChain
    5. ArxivLoader
    6. LlamaIndex
    7. ArxivReader
    8. Hugging Face Transformers
    9. BART
    10. T5
    11. Pegasus
    12. requests
    13. BeautifulSoup

    AI recommended 13 alternatives but never named blazickjp/arxiv-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
    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 blazickjp/arxiv-mcp-server?
    pass
    AI named blazickjp/arxiv-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 blazickjp/arxiv-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named blazickjp/arxiv-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 blazickjp/arxiv-mcp-server solve, and who is the primary audience?
    pass
    AI named blazickjp/arxiv-mcp-server explicitly

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

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blazickjp/arxiv-mcp-server — RepoGEO report