# Database Connection

The PostgreSQL MCP Server is an implementation based on the Model Context Protocol (MCP), which allows AI agents to interact with PostgreSQL databases through standardized interfaces.

An MCP server that connects to databases via ODBC, providing secure read - only database query capabilities for LLM tools such as Claude

CentralMind Gateway is a tool for quickly creating APIs or MCP services. It supports multiple database connections, automatically generates AI-optimized APIs, provides support for REST and MCP protocols, has PII protection, and offers multiple deployment options.

The StarRocks MCP server is a bridge connecting the AI assistant and the StarRocks database, supporting direct SQL execution and database exploration without complex configuration.

Aiven's MCP server project provides access to services such as PostgreSQL and Kafka in the Aiven ecosystem, enabling LLMs to build full - stack solutions. It includes tools such as project lists and service details, and supports connection configuration through environment variables.

An implementation of the MCP server for the TiDB database, supporting connection to the TiDB Cloud service through Claude Desktop configuration

A tool for connecting to and operating PostgreSQL databases, providing functions for table query, information retrieval, and SQL execution

The StarRocks MCP server is a bridge connecting AI assistants and StarRocks databases, supporting direct SQL execution and database exploration.

This project shows how to create an MCP server and client for Azure Cosmos DB, including a front - end application (product catalog and AI assistant) and an MCP server component that connects to the database.

ClickHouse Database MCP Service Project

A lightweight MCP server based on C# for ADO.NET database connections, supporting various database operations and query functions, and compatible with ODBC databases such as Virtuoso.

A MySQL Database MCP Server project that provides database connection and query execution functions.

The MCP Database Server is a tool that supports the connection and operation of multiple database systems. It provides two operating modes, SSE and STDIO, and can be integrated with Claude Desktop for database interaction.

The Snowflake MCP Server is a protocol server for database interaction. It supports executing SQL queries through tools and provides data insights and table structure context resources.

An MCP server for connecting to Microsoft SQL Server databases, providing tools for executing SQL queries and managing database connections.

An MCP service that connects to CockroachDB, providing database resource query and SQL execution functions

The StarRocks MCP Server is a bridge connecting AI assistants with StarRocks databases, supporting direct SQL query execution and database exploration without complex configuration.

The OceanBase MCP Server is a secure intermediary service that allows AI assistants to interact with OceanBase databases through a controlled interface.

An MCP server that provides read and write access to the Airtable database, supporting LLMs to view the database schema and manipulate records

The MySQL MCP Service is an API service based on Node.js that provides MySQL database connection and query capabilities for Cursor AI, supporting functions such as SQL execution and table structure query, and following the MCP protocol standard.

The MongoDB MCP Server enables LLMs to directly interact with MongoDB databases, supporting queries, schema inspection, index management, and document operations.

YDB MCP is a tool that provides Model Context Protocol services for the YDB database, supporting interaction with large language models through the MCP protocol to enable natural language database operations.

The MCP toolkit is a comprehensive implementation of the model context protocol server, providing a rich set of local system interaction tools for AI assistants

A lightweight MCP server based on FastAPI, pyodbc, and SQLAlchemy, supporting connection to multiple databases (such as Virtuoso, PostgreSQL, etc.) through ODBC, providing functions such as database schema query, table structure description, SQL execution, and supporting result return in JSONL and Markdown formats.