regenrek/deepwiki-mcp

• highreadme#1

  Reposition the README's core value proposition above the warning

  原因：

  当前

  > ⚠️ **IMPORTANT NOTICE**: This server is currently not working since DeepWiki has cut off the possibility to scrape it. We recommend using the official DeepWiki MCP server at https://docs.devin.ai/work-with-devin/deepwiki-mcp for the time being.
  
  This is an **unofficial Deepwiki MCP Server**

  复制粘贴的修复

  复制

  # Deepwiki MCP Server for AI Coding Assistants
  
  This is an **unofficial Deepwiki MCP Server** designed to fetch knowledge from deepwiki.com, convert it to Markdown, and make it available for use in Cursor and other Code Editors or AI coding assistants via MCP.
  
  > ⚠️ **IMPORTANT NOTICE**: This server is currently not working since DeepWiki has cut off the possibility to scrape it. We recommend using the official DeepWiki MCP server at https://docs.devin.ai/work-with-devin/deepwiki-mcp for the time being.

  待办完成忽略
• hightopics#2

  Add relevant topics to improve categorization

  原因：

  当前

  (none)

  复制粘贴的修复

  复制

  deepwiki, mcp-server, ai-coding-assistant, ide-integration, documentation-extraction, markdown-conversion, knowledge-base, code-editor-plugin

  待办完成忽略
• mediumreadme#3

  Clarify the 'NLP' feature description in the README

  原因：

  当前

  NLP**: It's to search just for the library name

  复制粘贴的修复

  复制

  **NLP**: Enables searching for documentation by library name, simplifying content retrieval for specific technical contexts.

  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 to extract documentation from a knowledge base into markdown for editor use?

  你：未被推荐
  AI 推荐顺序：

  1. Pandoc
  2. Confluence
  3. SharePoint
  4. Zendesk Guide
  5. Jira
  6. BeautifulSoup
  7. lxml
  8. markdownify
  9. json
  10. Scrapy
  11. Puppeteer

  AI 推荐了 11 个替代方案，却始终没点名 regenrek/deepwiki-mcp。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Tool to integrate external technical documentation into AI coding assistants or IDEs?

  你：未被推荐
  AI 推荐顺序：

  1. DocsGPT (arc53/DocsGPT)
  2. LlamaIndex (run-llama/llama_index)
  3. LangChain (langchain-ai/langchain)
  4. VS Code (microsoft/vscode)
  5. Kagi Universal Summarizer/Search
  6. Read the Docs (readthedocs/readthedocs.org)

  AI 推荐了 6 个替代方案，却始终没点名 regenrek/deepwiki-mcp。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 regenrek/deepwiki-mcp?

  pass
  ⚠AI 未点名 regenrek/deepwiki-mcp —— 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 regenrek/deepwiki-mcp in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 regenrek/deepwiki-mcp

  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 regenrek/deepwiki-mcp solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 regenrek/deepwiki-mcp

  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？