MCP Servers

This repository provides a Model Context Protocol (MCP) server, enabling Large Language Models to interact with MongoDB databases using natural language for querying, schema inspection, and data management.

This repository provides a Model Context Protocol (MCP) server for DuckDB, enabling database interaction through a unified SQL query tool. It supports querying, table creation, and schema inspection while offering readonly protection.

The StarRocks MCP Server bridges AI assistants and StarRocks databases, enabling direct SQL execution and database exploration without complex setup. It offers tools for querying and resources for database introspection.

This repository provides a Model Context Protocol (MCP) server enabling AI models to interact with MySQL databases through a standardized interface for executing queries and managing data. This repository provides

This repository provides a server enabling LLMs like Claude to interact directly with BigQuery data using natural language. It leverages the Model Context Protocol for secure and efficient AI-database communication.

This repository provides a Model Context Protocol (MCP) server for accessing BigQuery, enabling LLMs to inspect schemas and execute SQL queries. It supports listing tables, describing schemas, and running queries

This repository hosts MCP Servers, including the OceanBase MCP Server, facilitating secure interaction with OceanBase databases through the Model Context Protocol. Community support and bug reporting are available.

This repository hosts an Airtable MCP server designed for managing Airtable through Claude Desktop or other MCP clients. It features staged table building and includes system prompt and project knowledge

This repository provides an MCP server that integrates Neo4j graph databases with Claude Desktop, enabling natural language interaction for graph database operations. It offers tools for executing queries and managing

The MSSQL MCP Server enables secure interaction with MSSQL databases for AI assistants by listing tables, reading data, and executing controlled SQL queries. It ensures safer database exploration with permission

This repository provides an MCP server for Azure Data Explorer, enabling AI assistants to execute KQL queries and explore data through standardized interfaces. It supports authentication, resource discovery, and Docker containerization.

This TypeScript-based MCP server provides ArangoDB interaction, offering tools for querying, inserting, updating, removing, backing up, listing, and creating collections, enabling seamless database operations and integration with MCP tools.

This repository implements a Model Context Protocol (MCP) server using Chroma, providing vector database capabilities for semantic document search, metadata filtering, and persistent document management. This repository implements a Model

This repository provides a Model Context Protocol (MCP) server that allows AI assistants to execute SQL queries against AWS Athena databases. It retrieves query results, enabling AI to interact with your data.

The MSSQL MCP Server enables database interaction and business intelligence by running SQL queries, analyzing data, and generating business insight memos, adapting SQLite modifications for MSSQL. The MSSQL MCP Server