V2.ai Insights Scraper MCP

Instructions

Implementation Reference

• src/v2_ai_mcp/main.py:17-32 (handler)

  The internal logic implementation of `_summarize_post` which performs the actual fetching and summarization of the blog post.

  def _summarize_post(index: int):
      """Returns a summary of the blog post at the specified index"""
      posts = fetch_blog_posts()
      if 0 <= index < len(posts):
          post = posts[index]
          summary = summarize(post["content"])
          return {
              "title": post["title"],
              "date": post["date"],
              "author": post["author"],
              "url": post["url"],
              "summary": summary,
          }
      else:
          return {"error": f"Invalid index. Available posts: 0 to {len(posts) - 1}"}

• src/v2_ai_mcp/main.py:88-90 (registration)

  The registration of the `summarize_post` tool using the @mcp.tool decorator.

  def summarize_post(index: int):
      """Returns a summary of the blog post at the specified index"""
      return _summarize_post(index)