Discover our curated collection of MCP servers for database management. Browse 2155 servers and find the perfect MCPs for your needs.
Enables AI models to interact with MySQL and MongoDB databases through a standardized interface.
Enables AI assistants to directly query and analyze MongoDB databases through standardized Model Context Protocol (MCP) tools and resources.
Manages Xano databases and APIs through a Model Context Protocol (MCP) interface.
Provides a Model Context Protocol (MCP) server for managing and analyzing SQLite databases.
Serves search queries against a SQLite database of the Quran.
Enhances programming workflows by leveraging vector embeddings, structured databases, and knowledge graphs to intelligently store, retrieve, and analyze code patterns.
Enables LLM applications to seamlessly access and utilize Milvus vector database functionality via the Model Context Protocol.
Enables LLMs to interact with YugabyteDB by listing tables, schema, row counts, and running read-only SQL queries.
Enables querying live SAP Business One data from Claude Desktop using CData JDBC Drivers via a read-only MCP interface.
Connects AI assistants to Microsoft SQL Server databases, offering 23 advanced tools for comprehensive database exploration and management.
Connects Large Language Models to Kuzu databases, enabling schema inspection and query execution through the Model Context Protocol.
Navigates BigQuery datasets and tables, optimized for efficient LLM interaction in large projects.
Connects diverse data sources with Large Language Models using the Multi-Context Protocol, enabling intelligent querying and retrieval-augmented generation for an AI agent framework.
Facilitates natural language interaction and comprehensive management of PostgreSQL databases via an MCP-compatible client.
Integrate Infomaniak cloud services with AI assistants like Claude for streamlined management of domains, email, web hosting, and infrastructure.
Integrates QuickBooks Online with Claude to enable natural language querying and modification of accounting data.
Exposes the Microsoft Dataverse Web API as AI-callable tools, enabling AI agents to query, create, and manage records without schema hallucination.
Establishes a shared, persistent memory layer for AI agents, enabling them to recall user preferences and past interactions across various platforms.
Provides a secure, AI-ready database intelligence layer for enterprise data interaction.
Orchestrates comprehensive data pipelines for ingestion, validation, transformation, storage, and retrieval, designed for both AI agents and human developers.
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