Discover our curated collection of MCP servers for database management. Browse 1702servers and find the perfect MCPs for your needs.
Enables AI systems to connect to and query MySQL databases through the Model Context Protocol.
Manages Amazon DynamoDB resources, providing tools for table management, capacity management, and data operations.
Enables querying of live CockroachDB data within LLMs like Claude Desktop through a Model Context Protocol (MCP) interface.
Connects Neo4j data to Claude Desktop through CData JDBC Drivers.
Enables users to interact with ClickHouse databases through an MCP server, offering tools for querying, database listing, and table listing.
Provides a robust Model Context Protocol (MCP) server for managing model contexts, powered by FastAPI and CockroachDB.
Enables read-only access to Google Spanner data for AI clients like Claude Desktop through CData JDBC Drivers.
Provides seamless integration with Databricks Unity Catalog for AI assistants.
Offers a local-first TypeScript MCP server for Qdrant, facilitating client isolation, LM Studio integration, and scalable document workflows for retrieval-augmented generation.
Connects NocoDB instances to Cursor IDE, enabling direct database operations and automation workflows.
Provides a unified operations platform for full-stack software engineering, integrating browser automation, web search, database management, and deployment tools.
Manages and processes organizational data for employees, teams, projects, and assets using the Model Context Protocol.
Provides Model Context Protocol (MCP) tools for managing employee data via a REST API.
Provides a comprehensive server for the Model Context Protocol, integrating self-hosted LLM models via Ollama with a Supabase database for robust data persistence and retrieval.
Enables AI (LLM) access to proprietary in-house systems to leverage data, update information, and generate reports.
Orchestrates multiple AI models with dynamic routing, cross-checking, and cost optimization, leveraging a stateless architecture for efficient context management.
Provides a secure, controlled interface for AI assistants to interact with and analyze MySQL databases.
Provides intelligent research data management using vector embeddings and semantic search via an MCP server.
Integrates with Grist to provide 11 specialized tools for managing documents, records, SQL queries, and pages within an MCP environment.
Manages and compacts an agent's local memory logs using an embedded database and AI embeddings.
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