Discover our curated collection of MCP servers for database management. Browse 1628servers and find the perfect MCPs for your needs.
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Provides AI assistants with a secure and structured way to explore and analyze ClickHouse databases.
Manages Xano databases and APIs through a Model Context Protocol (MCP) interface.
Enables Large Language Models (LLMs) to directly interact with CrateDB databases.
Provides a Model Context Protocol (MCP) server enabling LLM applications to store and retrieve memories using LanceDB, an embedded vector database.
Provides a Model Context Protocol server to access the Tsurugi database.
Accepts todo requests via FastMCP and stores them in MongoDB.
Enables LLMs to interact with YugabyteDB by listing tables, schema, row counts, and running read-only SQL queries.
Provides a local, offline memory server for AI agents, leveraging SQLite with advanced search capabilities.
Provides a streamable HTTP server for ZenStack applications, enabling secure, auto-generated CRUD operations with integrated authorization and authentication.
Transforms raw text into interconnected knowledge graphs and autonomously generates insights through advanced pattern detection.
Converts natural language queries into optimized SQL, offering enterprise-grade support for large databases and multiple AI providers.
Facilitates querying of SPARQL endpoints via a Model Context Protocol server.
Navigates BigQuery datasets and tables, optimized for efficient LLM interaction in large projects.
Manages Datomic database connections and operations, including support for in-memory instances.
Manages standardized collection operations across multiple vector database technologies for AI agents.
Enables AI assistants with seamless, intelligent access to SAP Datasphere APIs for comprehensive data exploration and management.
Exposes LDAP directories via the Model Context Protocol (MCP) to enable client-side directory searches and CRUD operations.
Offers a high-performance, distributed, and tiered storage infrastructure for managing activity and log workloads with time-based ordering.
Parses TypeScript projects, builds rich code graphs in Neo4j, and provides deep contextual understanding for Large Language Models through semantic search and graph traversal.
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