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Use Doris MCP tools on AWS to run SQL and manage data operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Doris MCP Server on AWS AgentCore" yet — see the docs or source repo.
Connect to the Doris MCP Server and run this SQL: SELECT dt, SUM(sales) AS total_sales FROM orders WHERE dt >= '2025-01-01' GROUP BY dt ORDER BY dt; return the results and summarize the sales trend in English.
A result table plus a brief analysis of the sales trend.
Use the Doris MCP tools to inspect the columns, partitions, indexes, and CREATE TABLE statement for user_events in the analytics database, and point out any design issues that may affect query performance.
A schema and metadata summary with performance optimization suggestions.
Through the Doris MCP Server, retrieve the current cluster health status, active queries, storage usage, and recent failed jobs, then compile an operations check summary highlighting issues that need immediate attention.
A concise health-check report with key metrics, anomalies, and response priorities.
Run SQL, APIs, and sandboxed Python for multi-step research and data tasks.
Create and manage AWS infrastructure resources through an MCP server.
Manage Databricks clusters, jobs, SQL, and catalogs through MCP tools.
Add agentic tools with iterative reasoning and tool use to apps
Securely connect AI IDEs to AWS Bedrock AgentCore and discover tools.
Manage MCP tools and services with plugins, proxying, and a web dashboard.