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A service for document recognition, assessment, and filling in evaluations

  • Why this server?

    Provides RAG capabilities for semantic document search, allowing users to add, search, list, and delete documentation with metadata support. This is relevant for '文档识别' (document recognition) and '文档评价' (document evaluation).

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    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
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    4
    TypeScript
    Apache 2.0
  • Why this server?

    Provides document processing capabilities, allowing conversion of documents to markdown, extraction of tables, and processing of document images, relevant for '文档识别' (document recognition).

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    A server that provides document processing capabilities using the Model Context Protocol, allowing conversion of documents to markdown, extraction of tables, and processing of document images.
    6
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Enables retrieval of academic paper information, including metadata and abstracts, which can be useful for '文档评价' (document evaluation) when dealing with academic papers.

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    Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
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    11
    Python
    AGPL 3.0
  • Why this server?

    Analyzes GitHub README documentation quality, providing scores and improvement suggestions, which directly relates to '文档评价' (document evaluation).

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    A Model Context Protocol server that analyzes and evaluates GitHub README documentation quality using advanced neural processing, providing scores and improvement suggestions.
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    TypeScript
  • Why this server?

    Provides access to documentation resources, featuring URI-based navigation and structured documentation management, useful for understanding and evaluating documents.

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    A Model Context Protocol implementation that enables AI-powered access to documentation resources, featuring URI-based navigation, template matching, and structured documentation management.
    3
    Python
    MIT License
  • Why this server?

    Provides summarization capabilities through a clean, extensible architecture which is relevant for understanding and extracting key information from '文档识别' (document recognition) and could aid in '文档评价' (document evaluation).

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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.
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    24
    TypeScript
    MIT License
  • Why this server?

    Enables access to Fireflies.ai API for retrieving, searching, and summarizing meeting transcripts which can involve some aspects of evaluation if transcripts are assessed.

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    Enables access to Fireflies.ai API for retrieving, searching, and summarizing meeting transcripts with various filtering options and formats.
    4
    JavaScript
    • Apple
  • Why this server?

    Enables users to view recent emails and search their Gmail inbox using natural language commands, which could involve reading evaluation reports or feedback.

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    An integration server that provides Claude Desktop access to Gmail, enabling users to view recent emails and search their Gmail inbox using natural language commands.
    6
    Python
  • Why this server?

    Allows AI models to access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures, which could involve creating or modifying feedback/evaluation documents.

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    This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.
    598
    7
    JavaScript