Discover our curated collection of MCP servers for database management. Browse 1965 servers and find the perfect MCPs for your needs.
Enables database interaction and business intelligence through an SQLite-based Model Context Protocol server.
Provides PostgreSQL database management capabilities, assisting with analysis, guidance, and debugging.
Enables AI assistants to perform powerful search queries against Solr indexes by combining keyword and vector search capabilities.
Provides read-only access to MariaDB databases via the Model Context Protocol (MCP).
Enables LLMs to interact with SQL databases such as SQLite, SQL Server, and PostgreSQL, along with MongoDB.
Enables listing and querying Trino tables via the Model-Control-Protocol (MCP) using Python.
Enables AI coding agents to interact with dbt projects through standardized Model Context Protocol tools.
Connects AI models to Typesense search capabilities, enabling discovery, search, and analysis of data stored within Typesense collections.
Enables AI models to interact with MySQL databases through a structured Model Context Protocol (MCP) interface.
Automates and streamlines data engineering workflows by delivering complete, well-prepared data requests via intelligent assistants.
Automates coding workflows using AI assistants guided by a Neo4j knowledge graph.
Provides Gravitino APIs through a FastMCP integration.
Enables AI agents to interact with a Hasura GraphQL endpoint for API discovery, data fetching, mutations, aggregations, and health checks.
Provides compressed MySQL database schema information via a Model Context Protocol (MCP) server.
Enables secure libSQL database operations through Model Context Protocol clients.
Execute KQL queries within AI prompts, analyze results, and visualize data from Kusto and Log Analytics.
Empowers large language models with a persistent, human-like memory module that integrates seamlessly outside the model itself.
Connects LLM clients to locally running PowerBI Desktop instances, providing context, DAX query execution, and metadata analysis via ADOMD.NET.
Optimize PostgreSQL database performance with AI-powered query analysis, index recommendations, and health monitoring.
Empowers AI assistants with comprehensive programmatic control over Apache Superset instances for data visualization and business intelligence.
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