Discover our curated collection of MCP servers for database management. Browse 1628servers and find the perfect MCPs for your needs.
Enables interaction with PostgreSQL (and other SQL databases) using natural language queries within Claude Desktop.
Exposes Supabase PostgreSQL database schemas as resources and provides data analysis tools.
Provides a Key-Value storage MCP server built on unjs/unstorage with support for various drivers like Redis, MongoDB, and filesystem.
Provides an MCP server for managing vector embeddings, collections, and documents within ChromaDB.
Connects Google Analytics data to Claude Desktop using CData JDBC Drivers.
Enables querying of SQL Server Analysis Services data from applications like Claude Desktop using CData JDBC Drivers.
Enables database operations on MySQL using Claude.
Enables querying live SAP BusinessObjects BI data from AI clients like Claude Desktop through CData JDBC Drivers.
Enables natural language conversations with any JDBC-compatible database for querying, analysis, and visualization.
Enables AI assistants to perform comprehensive MongoDB database operations through a standardized Model Context Protocol interface.
Establishes and manages a Milvus vector database, including data ingestion, search functionalities, and integration into AI workflows.
Provides secure PostgreSQL database operations and comprehensive credential generation tools integrated with Claude Desktop.
Provides comprehensive todo list management capabilities, allowing MCP clients to create, list, toggle, delete, and search tasks.
Manages Beget hosting services, including sites, domains, databases, FTP, Cron, DNS, backups, and mail, directly from Claude Code.
Transform domain models into executable, shared assets for humans, systems, and AI agents, eliminating guesswork and rework.
Unify management and natural language querying across 20 different databases through a single interface.
Empower Claude Code with a permanent, local knowledge graph for persistent memory across development sessions and projects.
Translates natural language questions into explainable, reproducible data insights with built-in quality checks and semantic layer integration.
Exposes DocumentDB functionality as tools for Large Language Models (LLMs) and provides an Agent-to-Agent (A2A) agent for database management.
Connects AI assistants directly to Firestore databases for comprehensive data management.
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