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Methods to Extract Data from Files

  • Why this server?

    Provides secure read-only access and file search within a specified directory, respecting .gitignore patterns, making it suitable for extracting data from files.

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    A secure MCP server enabling read-only access and file search capabilities within a specified directory, while respecting .gitignore patterns.
    Last updated -
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Enables integration with Google Drive for listing, reading, and searching files, including automatic export for Google Workspace files.

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    Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.
    Last updated -
    1,495
    9
    JavaScript
    MIT License
  • Why this server?

    A Python server that enables interaction with Box files and folders through the Box API, allowing operations like file search, text extraction, and AI-based querying.

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    A Python server that enables interaction with Box files and folders through the Box API, allowing operations like file search, text extraction, and AI-based querying and data extraction.
    Last updated -
    8
    18
    Python
    • Apple
    • Linux
  • Why this server?

    Automates the creation of standardized documentation by extracting information from source files and applying templates, supporting GitHub, Google Drive, and Perplexity AI integration.

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    Automates the creation of standardized documentation by extracting information from source files and applying templates, with integration capabilities for GitHub, Google Drive, and Perplexity AI.
    Last updated -
    3
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Provides functionality to fetch web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.

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    Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.
    Last updated -
    1
    Python
    MIT License
  • Why this server?

    PDF to Markdown conversion tool, useful for extracting text data.

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    PDF to Markdown conversion tool
    Last updated -
    1
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Allows LLM tools to access and summarize code files, providing structured access to codebase content.

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    Allows LLM tools like Claude Desktop and Cursor AI to access and summarize code files through a Model Context Protocol server, providing structured access to codebase content without manual copying.
    Last updated -
    TypeScript
    • Linux
    • Apple
  • Why this server?

    Enables querying and analyzing medical imaging metadata from DICOM servers, including patient information and text extraction from encapsulated PDF documents.

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    Enables AI assistants to query and analyze medical imaging metadata from DICOM servers, including patient information, studies, series, and instances, as well as extract text from encapsulated PDF documents.
    Last updated -
    29
    Python
    MIT License
  • Why this server?

    A Model Context Protocol server that enables Large Language Models to fetch and process web content in multiple formats (HTML, JSON, plain text) from URLs.

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    A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.
    Last updated -
    TypeScript
    • Apple
  • Why this server?

    Provides Claude with access to Pinata's API, allowing interaction with both Public and Private IPFS for file uploading, searching, organization, and content retrieval.

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    Provides Claude with access to Pinata's API, allowing it to interact with both Public and Private IPFS for file uploading, searching, organization, and content retrieval.
    Last updated -
    31
    2
    JavaScript
    MIT License