"Recommended MCPs for cursor programming: Names, Functions, and Use Cases" matching MCP servers:

An artifact store that lets coding agents and small teams publish, version, and review web artifacts through an MCP server or CLI, with stable URLs, access gates, and comments.

Enables editing existing Docs, Sheets, and Slides in place, plus commenting, sharing, moving, and exporting files with native Google URLs returned. Provides 29 tools across Drive, Docs, Sheets, and Slides, using OAuth keys kept locally in ~/.gdrive-mcp/.

Provides tools for reading, modifying, and analyzing Google Sheets, as well as searching and managing Google Drive spreadsheets with access control.

Enables secure one-time encrypted file and note sharing by encrypting data locally before upload and providing tools for sending, listing, checking, and revoking links.

Model Context Protocol servers for Microsoft 365, enabling AI assistants to interact with Calendar, Contacts, OneDrive, Outlook, and SharePoint via the Microsoft Graph API.

A Model Context Protocol (MCP) server for ZeroDrive file management. It enables AI assistants like Claude to interact with ZeroDrive cloud storage through a standardized interface.

A Model Context Protocol server that provides seamless access to multiple storage services including S3, Azure Blob Storage, and Google Cloud Storage through Apache OpenDAL™.

Enables ChatGPT users to search and browse a private photo library, inspect metadata, and receive real image previews through read-only tools, while keeping encrypted sessions server-side.

MCP server giving Claude access to Tuta mail, calendar, contacts and drive. Supports mail modes (dedicated/shared/folder), trusted sender filtering with E2E verification, and Docker-based setup.

Enables Antigravity IDE to directly interact with Google Docs, Sheets, Drive, Gmail, and Calendar, with token-optimized operations to reduce context usage by 70-90%.

Enables ChatGPT to list, search, and read files from a user's Google Drive—including Docs, Sheets, Slides, and text files—through read-only Google OAuth access.

Exposes Poi's external APIs (file upload/download, commenting, license key issuance) as MCP tools for use with LLM clients like Claude.

An MCP server that wraps the rustypaste API, allowing users to upload text, files, and URLs to a rustypaste instance. It supports features such as single-use links, file expiration, and URL shortening.

Enables users to upload files and generate tracked, shareable links directly from AI agents like Claude Desktop or Cursor. It supports publishing various file formats including text, PDFs, and images, while providing tools for artifact management and analytics.

Enables agents to record their Linux X11 display while doing browser or computer-use work, then return a replay link when the task finishes without sending the video itself to the model.

Enables AI assistants to manage the AUL game library remotely by uploading covers and game assets, downloading covers, extracting APK package names, and updating game configuration entries via MCP.

MCP server for managing Google Drive documents from Cursor, enabling file operations like list, search, download, upload, update, create folders, and delete.

Enables LLMs to interact with Supabase services including Database, Auth, Storage, and Edge Functions through the Model Context Protocol. It provides tools for CRUD operations, user management, file storage, and invoking functions.

Enables AI agents to manage databases, deploy serverless JavaScript functions, and handle cloud file storage on the Codehooks.io platform. It supports full CRUD operations on collections, key-value storage with TTL, and comprehensive system logging.

Provides LLMs with tools to interact with the MASV API. MASV is an easy-to-use and ultra-reliable managed file transfer service designed for teams of all sizes. It allows users to send and receive massive files without size limits, while ensuring data integrity and security through its robust cloud infrastructure that supports cloud, on-prem, and hybrid workflows. Learn more https://massive.io/