blazickjp/arxiv-mcp-server

• highreadme#1

  Clarify README's opening to counter AI misinterpretation of purpose

  原因：

  当前

  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.

  复制粘贴的修复

  复制

  The ArXiv MCP Server is a dedicated **implementation of the Model Context Protocol (MCP)**, designed to provide AI assistants with programmatic access to arXiv's research repository. It enables AI models to search for papers and retrieve their content in a structured way. This server is built for developers integrating AI tools with academic research, and it is not a service for predicting paper categories or a general-purpose web scraper.

  待办完成忽略
• highhomepage#2

  Add missing homepage URL to repository metadata

  原因：

  复制粘贴的修复

  复制

  https://smithery.ai/server/arxiv-mcp-server

  待办完成忽略
• mediumreadme#3

  Add a 'Target Audience & Use Cases' section to the README

  原因：

  复制粘贴的修复

  复制

  ## 🎯 Target Audience & Use Cases
  This server is specifically built for:
  - **Developers of AI assistants and agents:** Integrate arXiv paper search and content access directly into your AI workflows.
  - **Researchers building automated analysis tools:** Programmatically gather and process academic papers without manual intervention.
  - **Teams requiring structured, protocol-driven access to arXiv:** Leverage the Model Context Protocol for reliable and standardized interactions.
  It is not a standalone user-facing research application like Elicit or Semantic Scholar, nor is it a general-purpose API wrapper. Instead, it provides the backend infrastructure for AI systems to intelligently interact with arXiv.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I integrate AI assistants to search and analyze academic research papers?

  你：未被推荐
  AI 推荐顺序：

  1. Elicit
  2. Semantic Scholar
  3. Scite.ai
  4. ChatGPT / GPT-4
  5. Humata AI
  6. ResearchRabbit
  7. Zotero

  AI 推荐了 7 个替代方案，却始终没点名 blazickjp/arxiv-mcp-server。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What tools help build a server for LLMs to access and process scientific publications?

  你：未被推荐
  AI 推荐顺序：

  1. Elasticsearch
  2. PostgreSQL with pgvector
  3. FAISS
  4. Hugging Face Transformers library
  5. FastAPI
  6. Apache Kafka
  7. MongoDB

  AI 推荐了 7 个替代方案，却始终没点名 blazickjp/arxiv-mcp-server。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of blazickjp/arxiv-mcp-server?

  pass
  ⚠AI 未点名 blazickjp/arxiv-mcp-server —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts blazickjp/arxiv-mcp-server in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 blazickjp/arxiv-mcp-server

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo blazickjp/arxiv-mcp-server solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 blazickjp/arxiv-mcp-server

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？