Discover our curated collection of MCP servers for database management. Browse 1628servers and find the perfect MCPs for your needs.
Provides AI-IDEs with real-time access to PostgreSQL and Supabase database schemas through the Model Context Protocol.
Navigates BigQuery datasets and tables, optimized for efficient LLM interaction in large projects.
Bridge external development tools with SAP ABAP systems using the Model Context Protocol (MCP) for comprehensive object management.
Provides a local, offline memory server for AI agents, leveraging SQLite with advanced search capabilities.
Provides a Model Context Protocol (MCP) server for managing and analyzing SQLite databases.
Provides agentic search capabilities with support for vector search using Qdrant, full-text search using TiDB, or both combined within a Model Context Protocol (MCP) server.
Enables LLM applications to seamlessly access and utilize Milvus vector database functionality via the Model Context Protocol.
Enables data querying and export operations across diverse databases.
Enables LLMs to interact with YugabyteDB by listing tables, schema, row counts, and running read-only SQL queries.
Exposes LDAP directories via the Model Context Protocol (MCP) to enable client-side directory searches and CRUD operations.
Provides AI assistants with a secure and structured way to explore and analyze ClickHouse databases.
Manages standardized collection operations across multiple vector database technologies for AI agents.
Enables Large Language Models to query local Nostr databases using the `ndb` command-line tool.
Serves search queries against a SQLite database of the Quran.
Converts natural language queries into optimized SQL, offering enterprise-grade support for large databases and multiple AI providers.
Enables comprehensive management of Vultr cloud services through natural language interfaces via a Model Context Protocol server.
Provides a local-first TypeScript server for Qdrant, enabling multi-client isolation, LM Studio integration, and scalable document workflows for RAG systems.
Enables AI assistants to directly query and analyze MongoDB databases through standardized Model Context Protocol (MCP) tools and resources.
Provides full read and write access to NetBox data, enabling comprehensive CRUD operations through LLMs.
Provides comprehensive SQLite database operations, enabling AI assistants to interact with local databases safely and efficiently.
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