"Methods to Extract Data from Files" matching MCP servers:

Enables read-only listing and reading of files in an Azure Files SMB share, enforcing each user's NTFS permissions per request.

Enables AI models to perform file operations, user management, automations, and more within Files.com's secure file transfer platform via the Model Context Protocol.

A focused MCP server for Google Drive file management, Google Sheets editing, and surgical Google Docs editing with 23 granular, single-purpose tools.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

Enables AI agents to query S3 data lakes using natural language, with support for CSV, JSON, Parquet and tools for data discovery, analysis, and metadata exploration.

This read-only MCP Server allows you to connect to Azure Data Lake Storage data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A read-only MCP server that exposes a configured Google Drive folder to MCP clients, enabling them to list, search, and extract content from various file formats like Excel, CSV, PDF, DOCX, and images.

Upload, list, and delete files on YourImageShare (free image & video hosting, 200MB limit, no account required) from Claude, ChatGPT, or any MCP-compatible agent.

Lets a coding agent upload files from disk to a Stickafile portal and return a shareable link, with the bytes going straight from disk to storage without entering the model's context. Also lists the portals a token can push to.

Enables LLM agents to lift local files into Google Drive as native Docs, Sheets, or Slides with formatting preserved, by passing file paths directly without routing bytes through the conversation.

Enables AI agents and MCP-compatible clients to search, inspect metadata for, and download files from a personal Microsoft OneDrive account via Microsoft Graph, using only read-only HTTP GET requests.

Uploads files, text, or base64 binary content to Aliyun OSS as objects with MD5-based keys, returning status, size, key, and URL.

Enables AI apps to work with Google Drive in plain language, including searching, organizing, uploading, downloading, exporting, sharing, and commenting on files, with reversible trash and configurable access scopes.

Upload any file from the local filesystem and get a shareable, expiring link — with tools to check file status, list recent uploads, and delete files on demand.

Enables publishing and managing single-page HTML files on CloudBase hosting through an MCP server, including uploading, retrieving, listing, and toggling offline/online states.

Enables MCP-compatible AI assistants to manage iDrive backup/restore operations, including listing devices, browsing and downloading backed-up files, and performing mutations like creating folders, deleting files, or restoring from trash.

Enables natural language management of files on CloudSee Drive (Amazon S3) including browsing, searching, uploading, downloading, sharing, and organizing, with confirmation for destructive actions.

Enables AI agents to read and query Excel files stored in SharePoint and OneDrive for Business, converting permission-matrix spreadsheets into structured JSON for automated QA workflows.

Enables creating storage buckets and uploading media files to Supabase Storage through natural language, with no delete or overwrite capabilities.