Discover our curated collection of MCP servers for database management. Browse 1975 servers and find the perfect MCPs for your needs.
Performs semantic searches across multiple Qdrant vector store collections using user-provided queries.
Manages an AWS Aurora Postgres server configured with the Pgvector extension.
Enables execution of SQL queries against MySQL, Oracle, and SQLite databases through a Node.js server.
Enables querying of live Redis data from Large Language Models (LLMs) using natural language through a Model Context Protocol (MCP) interface.
Connects WordPress data to Large Language Models via a Model Context Protocol (MCP) server using CData JDBC Drivers.
Provides read-only access to Blackbaud FE NXT data, enabling Large Language Models (LLMs) to query live information through a Model Context Protocol (MCP) interface.
Manages person records through an AI agent interpreting natural language commands.
Enables AI assistants to interact with PostgreSQL databases using natural language queries.
Enables programmatic access to Pinecone vector database operations for AI assistants via the Model Context Protocol.
Provides an MCP server to interact with a Calibre e-book library, enabling search and retrieval of book metadata.
Provides advanced MySQL database management and analysis capabilities through the Model Context Protocol (MCP).
Enables natural language interaction with MySQL databases through a Model Context Protocol (MCP) server, integrating AI capabilities for data operations.
Query and manipulate JSON data using powerful JSONPath expressions.
Illustrates Gilhari's implicit attributes feature for automatic foreign key management in JSON objects within a RESTful microservice.
Facilitates bidirectional synchronization of Qdrant vector database collections between local and remote instances.
Provides long-term memory capabilities to AI agents through a multi-layered MCP server.
Analyzes numeric and tabular data from CSV files and SQLite databases through a Model Context Protocol server.
Enforces read-only access for Large Language Models querying PostgreSQL databases by strictly parsing SQL queries to prevent data mutation.
Transforms ALMA (Atacama Large Millimeter/submillimeter Array) archive queries into natural language conversations, providing seamless access to astronomical data.
Connects AI models to SQL databases (PostgreSQL, MySQL, SQL Server, MariaDB, SQLite) via HTTP transport, enabling direct database interaction for tools like Claude, Cursor, and VS Code.
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