# Database connection

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

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.

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.

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.

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

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

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

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.

This is an MCP server specifically designed for Local by Flywheel, allowing AI assistants to directly read the WordPress database, automatically detect MySQL instances, and execute read - only queries, greatly improving development efficiency.

The MCP server for the Vertica database, providing connection management, query operations, and schema management functions, and supporting flexible configuration through environment variables or configuration files.

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

A database MCP server based on Spring Boot and Spring AI, providing multi - database connection and operation capabilities for AI applications, supporting secure data query, write operations, and metadata management.

ZoteroBridge is an MCP server that can directly connect to the Zotero SQLite database, enabling AI assistants to manage folders, tags, items, PDFs in the literature library, and perform library maintenance operations.

An MCP server that provides TapData access, supporting database connection, table structure query, and CRUD operations.

MCP Firebird is a service that implements the Anthropic Model Context Protocol (MCP) for the Firebird database, allowing large language models such as Claude to securely access and analyze database content.

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.

A guide to setting up MCP servers for AWS database services, supporting integration of multiple database types with Amazon Bedrock models

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.

An MCP server that provides Claude with the ability to access Snowflake databases

An MCP server implementation for retrieving data from MariaDB databases

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.

An MCP service that connects to a Supabase PostgreSQL database, providing table structure queries, data analysis tools, and common prompt functions

A MySQL database connection project based on Spring Boot, configured with a HikariCP connection pool, supporting service communication via the MCP protocol.

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

Implementation of Datomic MCP service based on Modex

MS SQL MCP Server is a no-code bridge tool that allows AI assistants to directly query and explore Microsoft SQL Server databases. It supports database discovery, table structure viewing, secure execution of read-only SQL queries, and the generation of SQL from natural language.

An MCP server that provides secure access to PostgreSQL, MySQL, and SQLite databases for AI assistants, supporting read-only mode, query timeout control, and environment variable configuration.

A multi - database JDBC server based on Node.js, supporting MySQL, Oracle, and SQLite, providing SQL query and connection management functions.