Start performance monitoring transactions to track application operations like HTTP requests and database queries for error detection and optimization.
Stop a specified service in the Ambari cluster using the MCP-Ambari-API. Initiates a monitored shutdown, returns request details for progress tracking, and provides clear success or error messages for automation.
Start a specific service in an Ambari-managed Hadoop cluster. Initiates the service startup process and returns request information for monitoring progress.
Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.
Automates error tracking workflow by finding code owners in Bitbucket, retrieving related pull requests, and creating assigned JIRA tickets for code errors.