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A system for information collection, organization, tracking, categorization, and output

  • Why this server?

    This server enables web content scanning, analysis, and information extraction, which aligns with the '信息收集' aspect of the user's query.

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    Enables web content scanning and analysis by fetching, analyzing, and extracting information from web pages using tools like page fetching, link extraction, site crawling, and more.
    6
    3
    TypeScript
    MIT License
  • Why this server?

    Enables advanced todo list management and content organization using Notion's API, supporting features like creating databases, dynamic filtering, and collaborative task tracking, aligning with '整理', '分类', and '追踪'.

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    Enables advanced todo list management and content organization using Notion's API, supporting features like creating databases, dynamic filtering, and collaborative task tracking.
    11
    Python
    MIT License
  • Why this server?

    This server manages and summarizes text notes, which fits well with '整理' and '输出' aspects of the user's query.

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    This TypeScript-based MCP server enables users to manage and summarize text notes, providing tools for note creation and summarization prompts.
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    TypeScript
    • Apple
  • Why this server?

    This server is designed for managing and persisting notes with CRUD operations, note summarization, and resource-based access, which covers aspects of '信息收集', '整理', '追踪', and '输出'.

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    An MCP server for managing and persisting notes, offering CRUD operations, note summarization, and resource-based access via a note:// URI scheme.
    4
    6
    Python
    MIT License
  • Why this server?

    Intelligently chunks large documents for efficient context-aware processing and summary generation, which helps with '整理' and '输出' of information.

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    An MCP server that intelligently chunks large documents for Claude, enabling efficient context-aware processing and summary generation for enhanced document comprehension.
    12
    JavaScript
  • Why this server?

    Enables semantic search and document management using ChromaDB, supporting natural language queries for retrieval augmented generation, aligning with '信息收集', '整理', and '分类'.

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    Enables LLMs to perform semantic search and document management using ChromaDB, supporting natural language queries with intuitive similarity metrics for retrieval augmented generation applications.
    Python
    • Apple
  • Why this server?

    Extracts and transforms webpage content into clean, LLM-optimized Markdown, which is crucial for '信息收集', '整理', and '输出'.

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    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
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    11
    MIT License
  • Why this server?

    This server retrieves saved articles from Pocket, which is suitable for '信息收集' and then allows to output through Claude.

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    🔗 Model Context Protocol (MCP) Server for retrieving saved articles from Pocket API and loading them into Claude
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    5
    JavaScript
    MIT License
    • Apple
  • Why this server?

    Provides intelligent summarization capabilities, supporting '整理' and '输出' of large amounts of information.

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    Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
    5
    10
    24
    TypeScript
    MIT License
  • Why this server?

    Enables users to manage a simple notes system with capabilities to create and summarize notes, which aligns with '信息收集', '整理', and '输出'.

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    This TypeScript-based MCP server enables users to manage a simple notes system with capabilities to create and summarize notes through structured prompts and resources.
    5
    0
    TypeScript
    MIT License
    • Apple