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Explore and query Apache Pinot clusters through an MCP server.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Apache Pinot MCP Server" MCP server from askskill: Run: claude mcp add 'io-github-startreedata-mcp-pinot' -- npx -y mcp-pinot-server
Use the Apache Pinot MCP Server to query the sales_events table for the last 24 hours and return hourly record counts.
A query result from Pinot showing hourly record counts for the last 24 hours.
Use the Apache Pinot MCP Server to inspect this Apache Pinot cluster and list the available queryable tables.
A list of available tables that can be explored or queried in the cluster.
Use the Apache Pinot MCP Server to query the first 10 rows from the user_activity table so I can quickly inspect its contents.
Sample query results from the specified Pinot table for quick inspection.
Developers working with Apache Pinot can use this MCP tool to explore the cluster and run queries directly. This helps them inspect tables and results without switching across multiple tools.
When analysts need to see what is available in Pinot or run initial queries, this tool helps them explore cluster contents quickly. It is useful for early-stage data inspection before deeper analysis.
DevOps teams maintaining Apache Pinot environments can use it to verify that the cluster can be explored and queried. This helps confirm that the data access path is functioning as expected.
This is an Apache Pinot MCP Server for exploring and querying Apache Pinot clusters through MCP. Its core capability is inspecting cluster data and running queries.
Based on the description, you at least need access to an Apache Pinot cluster. For exact installation steps, configuration, or authentication requirements, see the source repository.
The available information shows that it is focused on Apache Pinot clusters and provides exploration and query capabilities through MCP. More detailed differences are not provided in the current material; see the source repository.
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