Discover our curated collection of MCP servers for database management. Browse 2133 servers and find the perfect MCPs for your needs.
Locates and interacts with PostgreSQL databases used by MCP servers.
Manages project memory and context using a Model Context Protocol server.
Enables advanced database operations, schema management, and data manipulation for PocketBase through the Model Context Protocol (MCP).
Facilitates AI knowledge base creation and data processing using vector databases.
Enables querying of live Dynamics CRM data through natural language questions using LLMs like Claude Desktop.
Enables execution of SELECT queries on a TiDB instance via MCP tools.
Provides a robust Model Context Protocol (MCP) server for managing model contexts, powered by FastAPI and CockroachDB.
Enables AI clients to query live Dropbox data using natural language, leveraging CData JDBC Drivers.
Exposes tools and resources for interacting with Kinetica's database, SQL-GPT contexts, and real-time monitoring via a Model Context Protocol server.
Provides an AI-driven, MCP-compliant interface for natural language querying and analysis of Microsoft Fabric Data Warehouses.
Enables AI models to query and interact with PostgreSQL databases via the Model Context Protocol.
Enables AI assistants like Claude to read from and write to Notion databases through the Relentless API with built-in validation and robustness.
Provides intelligent research data management using vector embeddings and semantic search via an MCP server.
Empowers Language Models with context to automate and optimize SQL Server Database Administration tasks.
Manages comprehensive travel agency operations through a Model Context Protocol (MCP) server, enabling standardized interactions with traveler data.
Enables querying your data warehouse from AI assistants like Claude Code and Cursor using natural language.
Provides a comprehensive, AI-readable database of 3,614 Liechtenstein statutes for cybersecurity compliance and legal research via the Model Context Protocol.
Enables natural language management of DataDabble databases, including fields, entries, visualizations, AI features, notifications, audit logs, and team accounts, via a Model Context Protocol (MCP) server.
Integrates Redash with AI assistants to enable programmatic interaction with data, queries, and dashboards.
Empowers Claude Code with semantic search capabilities and deep contextual understanding of codebases, backed by vector embeddings.
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