Apache Pinot
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/startreedata/mcp-pinot
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Apache Pinot from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.