Discover and integrate MCP servers tagged with database
46 database MCP Servers Available
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
A simple MCP ODBC server using FastAPI, ODBC and PyODBC.
MCP Database Server is a new MCP Server which helps connect with Sqlite, SqlServer and Posgresql Databases
DreamFactory MCP Server enables AI assistants like Claude to directly query your databases through DreamFactory's auto-generated REST APIs.
A mockup full stack app built with React, FastAPI, MongoDB, and Docker, powered by AWS Rekognition & CLIP for multi-tagging and clothing recommendations
A server that helps people access and query data in databases using the Legion Query Runner with Model Context Protocol (MCP) in Python.
🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and database-level operations, making it easy to manage and query Turso databases directly from LLMs.
MCP Toolbox for Databases is an open source MCP server for databases.
Implementation of Anthropic's MCP protocol for Firebird databases.
Postgres MCP Pro provides configurable read/write access and performance analysis for you and your AI agents.
A MCP server to interact with the Solana blockchain with your own private key
This is a tool to scrape/download images and data from Vinted & Depop using the API and stores the data in a SQLite database.
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
A Model Context Protocol (MCP) server that enables LLMs to interact directly with Couchbase databases. Query buckets, execute N1QL queries, and manage data seamlessly through natural language.
A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.
MCP Server to expose the GDB debugging capabilities
A simple MCP ODBC server using FastAPI, ODBC and SQLAlchemy.
Typescript based Model Context Procotol (MCP) Server for Open Database Connectivity (ODBC)
MCP server for Cursor that leverages Gemini's much larger context window to enhance the capabilities of the AI tools
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.
A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate
An mcp server that provides read-only access to MariaDB.
Securely run AI-generated code in stateful sandboxes that run forever.
A Redis MCP server (pushed to https://github.com/modelcontextprotocol/servers/tree/main/src/redis) implementation for interacting with Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.
A Model Context Protocol server that provides access to MongoDB databases. This server enables LLMs to inspect collection schemas and execute MongoDB operations.
MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.
Image generation server for Claude Desktop using EverArt's API.
Immutable ledger database with live synchronization
Query and analyze data with MotherDuck and local DuckDB
Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
