"Vector Database" matching MCP servers:

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

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.

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

Enables AI agents to autonomously provision, pay for, and manage S3-compatible storage and vector databases without human intervention.

Enables database operations and cloud infrastructure management for ClickHouse, supporting querying databases with read-only safety controls and managing ClickHouse Cloud services through 50+ comprehensive tools.

This MCP server enables AI agents to interact with a self-hosted database backup and recovery platform through Streamable HTTP tools, including scoped access to connections, backup schedules, snapshots, jobs, downloads, deletion, and restore operations. It supports review-before-restore workflows and delegated credentials with expiry and revocation.

A Model Context Protocol server that provides tools for interacting with databases, including PostgreSQL, DuckDB, and Google Cloud Storage Parquet files.

Enables AI agents to interact with Firebase services including Authentication, Firestore Database, and Cloud Storage through a standardized MCP protocol.

Enables interaction with tool data stored in Google Drive Excel files through cached SQLite database. Provides access to tool information and descriptions with automatic background synchronization and OpenWebUI compatibility via OpenAI proxy.

A Django app that implements Firebase Model Context Protocol server, enabling AI agents to interact with Firebase services (Authentication, Firestore Database, Cloud Storage) through a standardized 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.