Monitor and identify currently running MySQL queries to detect performance bottlenecks, long-running operations, and blocking transactions in real-time.
Monitor and identify currently running MySQL queries to detect performance bottlenecks, long-running operations, and blocking transactions in real-time.
Monitor and analyze currently running MySQL queries to identify performance bottlenecks, detect long-running operations, and find blocking transactions in real-time.
MCP server enabling AI agents to programmatically connect to and control Apache Superset instances, allowing users to manage dashboards, charts, databases, datasets, and run SQL queries through natural language interactions.
An MCP server for Apache Superset that enables AI models to manage dashboards, create charts with auto-detection, and execute SQL queries programmatically. It utilizes stateless HTTP transport to ensure compatibility with integration tools like Open WebUI.
A Model Context Protocol server that enables large language models to interact with Apache Superset databases through REST API, supporting database queries, table lookups, field information retrieval, and SQL execution.