# Database interaction

The MSSQL MCP Server is a secure MCP protocol server for structured interaction with Microsoft SQL Server databases, supporting table queries, data reading, and controlled SQL execution to ensure the security and auditability of database operations.

A MySQL database operation service based on the Model Context Protocol, providing a standardized MySQL database interaction interface for AI models, supporting functions such as connection management, query execution, and table structure viewing.

Develop the MCP server for the HR leave management AI tool to interact with the database and respond to client queries

Clickzetta MCP Server is an implementation of the MCP server for database interaction with Clickzetta Lakehouse, supporting functions such as SQL queries, data analysis, and knowledge search.

XiYan MCP Server is a model context protocol server based on XiYan - SQL. It supports querying databases through natural language and provides multiple model configuration options, including general large models, SOTA text - to - SQL models, and local models. It is suitable for scenarios with different security and performance requirements.

An MCP protocol server implemented for MarkLogic databases, supporting document creation, reading, deletion, and search operations.

The SurrealDB MCP Server is a server that provides a standardized interface for AI assistants to interact with SurrealDB databases, supporting data query and operation.

The Couchbase MCP Server is a tool that enables LLMs to directly interact with Couchbase databases, supporting queries, CRUD operations, and data management.

MySQL MCP Server is a service component that implements the Model Context Protocol (MCP), providing a secure and structured interaction interface between AI applications and MySQL databases. It supports functions such as listing database tables, reading table content, and executing SQL queries. Database connections are configured through environment variables, emphasizing security and the principle of least privilege.

This is a project that converts the Python version of the MySQL MCP server to a Java implementation, providing a secure MySQL database interaction interface that allows AI assistants to access database resources in a controlled manner.

This project is a list of MCP servers implemented in Go, including multiple services for natural language processing and database interaction, such as text-to-SQL and knowledge base retrieval. It supports multiple platforms, is open-source, and free of charge.

The Nocodb MCP Server is a TypeScript - based service that supports interacting with Nocodb databases through the Model Context Protocol (MCP), enabling CRUD operations, file uploads, and bulk data processing.

The MCP server and toolset for OceanBase databases

A service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with Snowflake databases through natural language queries, supporting SQL execution, automatic connection management, and multi-client integration.

An MCP server project based on Docker and MCPHost, supporting data retrieval from the database via curl and integrating Anthropic's LLM services.

SingleStore MCP Server is a secure database interaction server that provides controlled access to SingleStore databases and supports table query, data reading, and SQL execution functions.

The Couchbase MCP server is a server that implements the MCP protocol, allowing LLMs to directly interact with the Couchbase cluster, providing functions such as queries and document CRUD operations, and supporting connections from multiple MCP clients.

Couchbase MCP Server is a service that enables LLMs to interact directly with Couchbase databases, supporting queries, CRUD operations, and N1QL queries.

The WAII MCP Server is a protocol server that enables database interaction through a natural language interface, supporting functions such as query execution and data visualization.

XiYan MCP Server is a Model Context Protocol server based on XiYan - SQL, which supports querying databases through natural language, provides multiple LLM model configurations and database connection methods, and is suitable for local or remote deployment.

A MongoDB - based Model Context Protocol (MCP) server that provides database interaction capabilities for LLMs

The Couchbase MCP Server project provides LLMs with the ability to directly interact with Couchbase databases, supporting natural language operations on the database, including querying, CRUD operations, N1QL queries and other functions.

A MongoDB Model Context Protocol (MCP) server that allows LLMs to directly interact with MongoDB databases, supporting querying, schema inspection, index management, and document operations.

This is a PostgreSQL model context protocol server project that allows LLM to interact with local databases. It is currently in the experimental stage and should be used with caution.

The MCP PostgreSQL Server is a standardized interface service that allows AI models to interact with PostgreSQL databases through tool calls, supporting functions such as connection management, query execution, and table structure viewing.

This project is an MCP service for the Cassandra database. It enables database operations through natural language interaction, including functions such as queries, table creation, and data insertion/updating/deletion, and is integrated with Claude Desktop.

An MCP server implementation based on DuckDB, providing the ability to interact with the database through MCP tools, supporting operations such as queries, table creation, and schema inspection, and can be configured in read-only mode to ensure data security.

A guide to interacting with databases via the MCP service

The MySQL MCP server is a model context protocol service for interacting with MySQL databases. It supports querying and modifying data, provides read and write operation tools, and controls permissions through environment variables.

A Model Context Protocol (MCP) server based on Supabase, which provides AI assistants with the ability to interact with Supabase databases through standardized tools, supporting database operations such as addition, deletion, modification, and querying.