Discover our curated collection of MCP servers for database management. Browse 1976 servers and find the perfect MCPs for your needs.
Executes SQL queries against Databricks using the Statement Execution API.
Enables Large Language Models (LLMs) to query, analyze, and interact with Prometheus databases through predefined routes.
Enables interaction with MSSQL databases, facilitating SQL query execution and business intelligence tasks.
Enables Large Language Models to interact with and manage Astra DB databases as agents.
Converts natural language into SQL queries using keyword parsing for improved accuracy and speed.
Enables AI assistants to execute SQL queries against AWS Athena databases and retrieve results.
Enables Large Language Models to interact with Oracle Databases, generate SQL statements, and return results using prompts.
Enables database interaction and business intelligence capabilities through Apache IoTDB.
Enables AI agents to interact with PostgreSQL databases through a standardized Model Context Protocol (MCP).
Connects AI models with FalkorDB graph databases via the Model Context Protocol.
Integrates AI assistants with the Metabase analytics platform, enabling direct interaction with analytics data.
Provides an MCP server for Apache Iceberg catalogs, enabling metadata access and management.
Provides comprehensive access to the PubChem chemical database via the Model Context Protocol (MCP).
Provides advanced access to the ChEMBL chemical database through a Model Context Protocol (MCP) server.
Empowers Large Language Models (LLMs) to perform database operations and Prisma-specific workflows by exposing a structured API interface.
Translates natural language instructions into JSON-formatted operations for loading, querying, and writing RDF Linked Data.
Provides real-time access, search, and analytics capabilities for rekordbox DJ databases.
Automates the generation of complete Java layered code, including Entity, DAO, Service, and Controller, for multiple databases using smart database analysis.
Establishes a personal memory layer for AI assistants, enabling semantic search, philosophical reflection, and knowledge management.
Equips AI agents with a shared, persistent knowledge graph to retain facts, decisions, and context across sessions and tools.
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