CockroachDB

Provides natural language access to CockroachDB clusters through cluster monitoring for health checks and performance analysis, database operations for connection management and lifecycle tasks, table management for schema operations and bulk data import, and query execution with transaction support and performance optimization.

CockroachDB MCP server by Amine El Kouhen that provides AI assistants with natural language access to CockroachDB clusters through four main tool categories: cluster monitoring for health checks and performance analysis, database operations for connection management and database lifecycle, table management for schema operations and bulk data import, and query execution with transaction support and performance optimization. Built with Python using FastMCP and asyncpg, the implementation supports both environment variable and CLI configuration, includes Docker deployment options, and integrates with multiple MCP clients including Claude Desktop, VS Code with GitHub Copilot, and OpenAI Agents SDK. Designed for developers managing distributed CockroachDB deployments who need conversational access to database operations, performance monitoring, and schema management without writing SQL directly.