Discover our curated collection of MCP servers for database management. Browse 1620servers and find the perfect MCPs for your needs.
Enables AI assistants to interact with PostgreSQL databases using natural language queries.
Integrates Senzing's entity resolution capabilities with AI assistants by exposing its SDK functionality via the Model Context Protocol.
Provides a foundational template for running Model Context Protocol servers with authentication, PostgreSQL integration, and containerization capabilities.
Connects Salesforce Pardot data to Claude Desktop using CData JDBC Drivers.
Enables AI agents with read-only access to PostgSail marine data systems for monitoring and analysis.
Enables programmatic access to Pinecone vector database operations for AI assistants via the Model Context Protocol.
Illustrates Gilhari's implicit attributes feature for automatic foreign key management in JSON objects within a RESTful microservice.
Manages PostgreSQL clusters via the CloudNativePG operator within Kubernetes environments.
Performs semantic searches across multiple Qdrant vector store collections using user-provided queries.
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.
Enables AI assistants to query and analyze Jira issue data stored in CSV files exported from Snowflake.
Provides an MCP server to interact with a Calibre e-book library, enabling search and retrieval of book metadata.
Enables AI chat applications to maintain persistent memory of user facts across sessions using the Model Context Protocol.
Enables execution of SQL queries against MySQL, Oracle, and SQLite databases through a Node.js server.
Enables natural language interaction with MySQL databases through a Model Context Protocol (MCP) server, integrating AI capabilities for data operations.
Provides comprehensive PostgreSQL database management capabilities through an AI-native Model Context Protocol (MCP) server.
Enforces read-only access for Large Language Models querying PostgreSQL databases by strictly parsing SQL queries to prevent data mutation.
Provides long-term memory capabilities to AI agents through a multi-layered MCP server.
Manages MongoDB database interactions through a configurable server.
Facilitates bidirectional synchronization of Qdrant vector database collections between local and remote instances.
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