Discover our curated collection of MCP servers for database management. Browse 2133 servers and find the perfect MCPs for your needs.
Enables LLMs to inspect MySQL database schemas and execute read-only queries for enhanced data access.
Manages projects, grids, databases, and more through the Gridly API.
Enables data analysis for Netwrix Access Analyzer by integrating with Claude Desktop for enhanced data analysis capabilities.
Enables Claude Desktop to query live SAS Data Sets data through a read-only MCP server using CData JDBC Drivers.
Connects LLM applications to Milvus vector database functionality via the Model Context Protocol.
Manages remote memory banks for AI models and development workflows via a Model Context Protocol (MCP) server.
Transforms SQL databases into interactive dashboards using natural language queries powered by AI.
Connects large language models like Claude Desktop to live Exact Online data via CData JDBC Drivers for natural language queries.
Provides an MCP server enabling AI assistants to directly access and query a German family business knowledge graph database.
Enables AI models and agents to translate natural language into database queries and execute them against SQL/Graph databases.
Facilitates natural language search over relational database schemas to quickly locate tables and their relationships.
Enables AI agents to connect to and execute read-only SQL queries across multiple database types, including MySQL, PostgreSQL, MSSQL, and Oracle.
Provides a lightweight Python server for secure database structure browsing and read-only querying via JSON-RPC, primarily for AI and LLM integrations.
Demonstrates RESTful CRUD operations and Object-Relational Mapping (ORM) for JSON objects using the Gilhari microservice framework.
Enables AI assistants to manage Kafka topics, messages, consumer groups, and clusters via a Model Context Protocol server.
Enables AI assistants to query and explore Trino data warehouses and retrieve execution plans and schema information.
Connects AI assistants directly to Firestore databases for comprehensive data management.
Empower AI agents with deep understanding of legacy databases for schema inspection, code generation, and impact analysis.
Provides persistent cross-surface memory for Claude AI sessions, enabling seamless context transfer across Code, Cowork, and Chat.
Enhances AI agentic database workflows by providing a semantic safety layer for generating correct and safe SQL queries.
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