Discover our curated collection of MCP servers for database management. Browse 2132 servers and find the perfect MCPs for your needs.
Enables querying live Access data within LLMs like Claude Desktop using natural language.
Enables querying of live HDFS data from Large Language Models using natural language through a Model Context Protocol (MCP) interface.
Enables large language models to query live Certinia data using natural language via CData JDBC Drivers.
Provides a Model Context Protocol (MCP) interface to enable large language models to query live Epicor Kinetic data via CData JDBC Drivers.
Exposes PostgreSQL database schemas and metadata for exploration by Model Context Protocol (MCP) compatible tools.
Automates user sign-ups and data management through an intelligent, conversational AI interface.
Manages remote memory as a knowledge graph, synchronizing data with GitHub repositories for collaborative storage and access.
Manages student data through an AI-integrated system for registration and retrieval.
Provides an AI-driven data service platform integrating data visualization, intelligent SQL querying, and temporary link management.
Integrates conversational AI with Metabase analytics, enabling large language models to directly interact with and manage data through the Metabase API.
Enables secure, read-only access to PostgreSQL data from a Hospital Management System via the Model Context Protocol for AI clients.
Connect and manage PostgreSQL databases using natural language commands via the Model Context Protocol, enabling intuitive interaction with your data.
Provides AI assistants with access to a comprehensive directory of Bangladeshi doctors, hospitals, and medical specialists.
Provides Claude Code with persistent, SQL-powered memory and verified file editing capabilities to overcome session limitations and reduce AI hallucinations.
Enables AI agents to maintain a persistent, evolving long-term memory, encompassing knowledge graphs, conversation history, and self-identity, transcending typical LLM limitations.
Enables AI tools to interact with legacy MongoDB instances (version 3.2+) through the Model Context Protocol.
Manages the full recruitment lifecycle for AI agents, covering candidates, jobs, matching, and pipeline tracking.
Discover and explore data across various sources, including SQLite databases and CSV files, leveraging an integrated API for AI agents.
Provides a persistent memory system for AI agents and assistants, enabling the recording, searching, and management of episodic memories and a knowledge base.
Connects to and queries Domostudio's Firebird database, offering schema discovery and data retrieval capabilities.
Scroll for more results...