"Querying a Database" matching MCP servers:

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.

Enables Google Drive, Sheets, and Docs operations; ATS job-board reads and liveness checks; local notes and HTTP connectors through MCP.

Enables AI coding agents to read, write, and query Google Sheets as a database through the Model Context Protocol.

Enables Claude and other MCP clients to read and write a user's iOS to-do alarms stored in their iCloud private database, with tools for listing, creating, updating, completing, snoozing, and deleting tasks and managing repeat rules. It can run through a hosted OAuth relay or locally over stdio, and writes sync to the iPhone app via CloudKit notifications.

Full-access MCP server for managing AR LABS (Viral AI Prompts & Guides), enabling post creation, editing, deletion, image uploads, push notifications, comment moderation, and site stats via AI assistants.

Enables Claude to search, list, and download files from any Google Drive folder shared with a service account, without OAuth or browser login.

Z-CLI provides NAS operations like file management, pool queries, search, and file operations through CLI and MCP Server, enabling AI assistants to interact with zspace private cloud.

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.

MCP server for Supabase database and storage operations, enabling querying, inserting, updating, deleting rows, schema introspection, and file storage management.

MCP server providing backend access to PostgreSQL, Storage (Supabase/S3), Iceberg data lake, and SQL seeds. It offers 32 tools for database queries, storage operations, seed management, and more.

An implementation of the Model Context Protocol that allows AI models to interact with 360 AI Cloud Drive, providing comprehensive file management capabilities including uploading, downloading, searching, and sharing files.

Enables AI agents to interact with Insforge backend-as-a-service platform through the Model Context Protocol, providing tools for database management, authentication, and storage operations.

Enables AI models to interact with Akave's S3-compatible storage by providing tools for managing storage buckets and objects through standardized Model Context Protocol (MCP).

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™.

Manages .ai/ workspace folder, syncs assets with a cloud service, and generates environment-specific bootstrap files for AI context management.

Enables uploading images to BeeIMG, deleting images, and retrieving premium account info through a local stdio MCP server.

Enables AI agents to create and run a backend with database, auth, file storage, server-side functions, and a site, all without opening a browser.

Enables agents to upload, list, delete, and retrieve public URLs for self-contained HTML files on a remote nginx server via MCP, with a management page for browsing and previewing.

MCP server for managing a Ceph cluster, currently implementing note-taking functionality as a placeholder.

A Model Context Protocol (MCP) server that provides AI assistants with secure access to your Google Docs.