# Database connection

The MCP protocol enables standardized interaction between LLMs and the openGauss database, and builds an AI Agent application framework

A Model Context Protocol (MCP) server for connecting to Microsoft SQL Server

This project is a server based on the Model Context Protocol (MCP), specifically designed to interact with the Amazon Redshift database. It securely connects through the AWS Data API, provides functions such as database structure query, data retrieval, and performance analysis, and supports integration with AI tools such as Claude and Cursor.

This is a CockroachDB MCP server based on the Model Context Protocol (MCP) specification, which allows direct interaction with the CockroachDB database in Cursor and provides functions such as connection management, table structure query, and SQL execution.

An implementation of the MCP server for Apache Doris, providing model context protocol services and supporting running through the command line and development mode.

ToolFront is an AI proxy database connection tool that securely connects coding assistants to team databases through the MCP protocol, enabling collaborative learning and sharing of query patterns.

AnalyticDB for MySQL MCP Server is a universal interface service that connects AI agents and AnalyticDB for MySQL databases, supporting metadata retrieval and SQL operation execution.

OceanBase MCP Server is a secure database interaction service that allows AI assistants to query OceanBase databases through a controlled interface, including listing tables, reading data, and executing SQL operations.

An MCP server implementation for retrieving data from MariaDB databases, providing database query and schema list functions

An MCP server for connecting to Microsoft SQL Server databases, providing tools for SQL query execution and database connection management.

A lightweight MCP server based on FastAPI, pyodbc, and SQLAlchemy, supporting connection to multiple database management systems via ODBC, providing functions for querying database schemas and table structures, and executing SQL/SPARQL.

A Model Context Protocol (MCP) server for connecting to Microsoft SQL Server databases, providing tools for executing SQL queries and managing database connections.

PG-MCP is a model context protocol server designed for PostgreSQL databases, providing APIs for AI agents to discover, connect, query, and understand databases. It supports multi - database connection, rich catalog information, and query explanation functions.

The Oracle MCP server is a model context protocol service that provides flexible access to Oracle databases for AI assistants such as Claude. It supports multi - mode queries and comprehensive in - database introspection functions.

The ORMCP Server is a server based on the Model Context Protocol (MCP) that connects AI applications to any relational database. It enables two-way communication between JSON data and the database through Object Relational Mapping (ORM).

An MCP service that connects to CockroachDB, providing functions for querying database and table structures, executing SQL, and analysis.

Snowflake MCP Service is a server that implements the Model Context Protocol (MCP), providing the ability for MCP-compatible clients to access Snowflake databases. It supports two authentication methods: password and key pair, and includes core functions such as connection management and query processing.

This project provides a series of Model Context Protocol servers based on Quarkus/Java to extend the capabilities of MCP-enabled LLM applications, including various services such as JDBC database interaction, JVM monitoring, and file system operations.

An MCP server that serves MotherDuck and local DuckDB, supporting connection initialization, schema reading, and query execution functions.

JDBC-MCP is a database access tool designed for AI assistants. It enables interaction with databases through JDBC connections, supports Docker deployment, and enhances security control.

An MCP service that provides read and write access to PostgreSQL databases, supporting query execution, CSV data upload, and automatic retrieval of table structure information.

Hologres MCP Server is a general interface service that connects AI agents with the Hologres database. It supports two communication modes, STDIO and SSE, and provides functions such as database metadata access, SQL execution, and statistics management.

An MCP server implementation for retrieving data from MariaDB databases

Redshift MCP Server is a Python-based implementation of the MCP protocol that enables AI assistants to interact with Amazon Redshift databases.

MCP Firebird is a service that implements the Anthropic Model Context Protocol (MCP) for Firebird databases, allowing LLMs to securely access and manipulate databases.

An MCP server designed for Apache Doris, providing database connection and operation functions.

Implementation of Datomic MCP service based on Modex

A service based on FastMCP that allows large language models to connect to and operate on a PostgreSQL database, providing schema exploration, table structure query, and database query capabilities.

The MCP connector for PostgreSQL databases provides secure read-only queries, table structure viewing, and connection testing functions, supporting direct database operations in Claude Desktop.

Clickzetta MCP Server is a server that implements the Model Context Protocol (MCP), providing interaction functions with the Clickzetta Lakehouse database and supporting SQL queries and data insight analysis.