Discover our curated collection of MCP servers for database management. Browse 1319servers and find the perfect MCPs for your needs.
Provides a server for managing LanceDB databases.
Generates and executes InfluxDB queries directly from natural language input.
Provides a Model Context Protocol (MCP) interface for querying, managing, and interacting with KDB+ databases.
Connects AI assistants like Claude to various databases, offering comprehensive connectivity and query execution capabilities.
Provides an intelligent, agent-driven system for advanced data analysis and querying within Snowflake environments.
Provides an MCP server for accessing Postgres databases on AWS RDS.
Investigates data across diverse sources by connecting to both local and external Micro-Capability Providers (MCPs).
Provides sample Python servers for extending AI assistant capabilities via the Model Context Protocol.
Enables natural language interaction with Exasol databases by translating questions into SQL queries.
Provides a comprehensive set of tools for interacting with and administering MySQL and PostgreSQL database schemas and data.
Enables interaction with Elasticsearch clusters, allowing for searching documents, analyzing indices, and managing the cluster via a set of tools.
Enables AI agents with read-only access to PostgSail marine data systems for monitoring and analysis.
Integrates Qdrant, Neo4j, and Crawl4AI to provide intelligent AI coordination through vector and graph intelligence.
Enables executing SQL queries on MySQL databases through a Model Context Protocol (MCP) server.
Provides a versatile server to execute SQL queries on SQLite databases using the MCP protocol across various communication modes.
Provides database interaction capabilities with ArangoDB through the Model Context Protocol (MCP).
Implements a Model Context Protocol (MCP) SQLite server using Node.js, offering an npx-based solution for environments lacking Python's UVX runner.
Provides secure, STDIO-mode connectivity to MSSQL databases for Claude Desktop and other MCP-compatible clients.
Enables AI agents to interact with a PostgreSQL database through a secure, remote Model Context Protocol server.
Manages remote memory banks for AI assistants and development workflows, powered by MongoDB.
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