Discover our curated collection of MCP servers for database management. Browse 1976 servers and find the perfect MCPs for your needs.
Enables efficient vector storage, similarity search, and management of vector embeddings with associated metadata using LanceDB.
Provides an MCP server facilitating interaction with the Tembo Cloud platform API.
Enables semantic search in Qdrant vector databases using OpenAI embeddings.
Enables AI models to interact with SQLite databases by executing SQL queries and managing schemas.
Enables AI assistants to interact with Metabase databases and actions through the Model Control Protocol.
Exposes a Model Context Protocol (MCP) server for interacting with VictoriaMetrics.
Enable AI assistants to explore and query your Tailpipe data using natural language.
Interfaces with Typesense as a Model Context Protocol (MCP) Server.
Enables AI assistants to directly query databases through DreamFactory's auto-generated REST APIs.
Connects AI assistants to Microsoft SQL Server databases, offering 23 advanced tools for comprehensive database exploration and management.
Enables comprehensive database operations and cloud management for ClickHouse via a Model Context Protocol (MCP) server.
Connects to Snowflake, enabling programmatic SQL execution and metadata retrieval via a Model Context Protocol (MCP) server, designed to operate behind corporate proxies.
Provides a high-performance persistent memory server for the Model Context Protocol (MCP) using libSQL for robust data storage and vector search.
Enables AI assistants to securely manage MySQL databases by executing queries, inspecting schemas, and handling connections via the Model Context Protocol.
Transforms local Quicken QIF exports into a queryable DuckDB database, enabling natural language interaction with financial data via LLM clients.
Provides comprehensive administration and real-time monitoring for self-hosted Supabase instances.
Query personal financial data from Google Sheets using natural language via a local MCP server.
Exposes PostgreSQL documentation as Model Context Protocol (MCP) tools and resources for AI agents.
Convert any existing API into an MCP server to expose as tools for AI clients.
Provides AI coding assistants with secure, read-only access to database schemas and data, enabling direct inspection and safe query execution from the IDE.
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