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 perform semantic searches for Star Wars planets using Couchbase's vector search.
Connects a Weaviate vector database to an MCP (Multi-Channel Platform) server.
Enables secure interaction with MySQL databases through a controlled interface.
Provides a comprehensive Model Context Protocol (MCP) server for accessing the PubChem chemical database.
Exposes Tally data through a Model Context Protocol (MCP) interface, enabling Large Language Models (LLMs) to query live Tally data using natural language.
Facilitates read-only access to Sage 300 data, enabling large language models to query live information using natural language.
Connects large language models to SAP Netweaver Gateway data through a Model Context Protocol server, enabling natural language querying.
Enables natural language conversations with any JDBC-compatible database for querying, analysis, and visualization.
Provides a read-only Model Context Protocol (MCP) server for PostgreSQL databases, offering advanced multi-tenant support, schema introspection, and flexible query capabilities.
Provides an HTTP streaming version of the official MCP Memory Server for managing knowledge graphs.
Enables natural language interaction with databases by transforming plain English questions into SQL queries.
Manages project memory and workflows through streamlined database operations and advanced knowledge graph capabilities for intelligent project management.
Provides a unified interface to query and manage 16 different databases using natural language.
Enables AI models to safely access and analyze data from legacy MongoDB instances (versions 2.6-3.6) using a Model Context Protocol (MCP) interface.
Enables natural language interaction with PostgreSQL databases through the Model Context Protocol for Claude applications.
Orchestrates a system of specialized AI agents to autonomously research topics, extract insights, and generate polished reports.
Empower AI agents with seamless access to distributed data functions and resilience capabilities within a Hazelcast cluster.
Converts data models from dbt, Snowflake Semantic Views, LookML, Tableau, and Power BI into Sigma Computing's data model JSON format.
Transforms code repositories into queryable structural graphs for AI agents, enabling complex code analysis and interaction through an MCP tool interface.
Automates a local development environment with PostgreSQL, SonarQube, and Mailpit via Docker, enhancing AI-assisted development with integrated MCP server support.
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