# Database connection

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.

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.

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

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.

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.

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.

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

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

A MySQL database connection server based on the MCP protocol, providing table structure query and read-only SQL execution capabilities, and supporting LLM models for data analysis.

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

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.

Supabase MCP Server is a tool that connects Supabase projects with AI assistants (such as Cursor, Claude, etc.), enabling AI assistants to directly manage database tables, query data, and perform other functions through the Model Context Protocol standard.

Implementation of Datomic MCP service based on Modex

The MSSQL MCP Server is a Model Context Protocol server for connecting to Microsoft SQL Server databases, providing tools for executing SQL queries and managing database connections.

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

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.

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

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.

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

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.

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.

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 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

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.

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.

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

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