Apache Pinot
Integrates with Apache Pinot to enable real-time analytics queries through SQL execution, table schema inspection, segment analysis, and cluster metadata access for operational monitoring and business intelligence workflows.
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This MCP server provides production-grade integration with Apache Pinot, enabling AI assistants to query real-time analytics data through SQL and access cluster metadata including table configurations, segment details, and index information. Built by the StarTree team using Python with the MCP SDK, pinotdb driver, and REST API integration, it supports both quickstart and enterprise Pinot deployments with configurable authentication, database selection, and multi-stage query engine options. The implementation offers seven specialized tools for data exploration (SQL queries, table listing, schema inspection, segment analysis) along with guided prompts for Pinot query assistance, making it valuable for real-time analytics workflows, operational monitoring dashboards, and business intelligence scenarios where AI assistants need to interact with high-performance OLAP data stores for time-series analysis and aggregation queries.
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