Retrieve logs and error messages for a specific Cloud Run service by providing the Google Cloud project ID, region, and service name.
Apache 2.0
351,423 tools. Last updated 2026-07-31 15:05
"A service for error tracking and performance monitoring" matching MCP tools:
- Remove a service dependency from tracking to stop monitoring its relationship with other services.MIT
- Stops a specified service in the Ambari cluster, returning request ID and status for progress tracking.MIT
- Detect performance changes by comparing trace aggregates between two time windows for a service, showing per-operation latency and error rate differences.MIT
- Detect latency and error-rate anomalies in a service by comparing recent traces against a historical baseline to identify performance issues.MIT
- Stop monitoring a website's AI visibility and free up a monitoring slot. Use this to remove a site from scheduled tracking.Elastic 2.0
Matching MCP Servers
- AlicenseCqualityDmaintenanceEnables 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.Last updated401Apache 2.0
- Alicense-qualityCmaintenanceProvides 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.Last updated40MIT
Matching MCP Connectors
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
Client-website monitoring for agencies: uptime, incidents, SSL/domain expiry, server metrics.
- Retrieve detailed information about a specific Railway service, including configuration, deployment status, and health metrics for monitoring and management.MIT
- Retrieve performance monitoring configuration and resource utilization data for the Parallels RAS farm to review baselines and check monitoring settings.MIT
- Retrieve detailed information about a Railway service, including configuration, status, deployment details, and health monitoring.MIT
- Starts a specified service in an Ambari cluster. Returns request details for progress tracking or an error on failure.MIT
- Track error rate trends per service and minute to identify climbing error rates, services burning error budget, and prioritize rollback decisions.MIT
- Search and filter error tracking issues by service, error type, time range, and track (APM, logs, or RUM) to identify and resolve errors.MIT
- Update SEO metadata for multiple posts at once with built-in progress tracking and error handling to ensure accurate bulk updates.MIT
- Modify configuration for an existing Rybbit site. Toggle tracking features such as IP tracking, session replay, error tracking, and button clicks.MIT
- Retrieve service monitoring task status for a specific device using its ID.MIT
- Analyze error rate trends over time for a service to identify spikes, patterns, and direction of travel.MIT
- Analyze APM performance by searching spans and traces with filters for service, resource, status, and duration.MIT
- Retrieve performance metrics for monitoring and debugging server operations in the MCP Filesystem Server environment.MIT
- Create, list, update, delete, and track Datadog Service Level Objectives (SLOs) with error budget and SLI status. Monitor reliability compliance and performance targets.Apache 2.0
- Retrieve comprehensive platform statistics including pipeline health, LLM performance, totals, and service health with 30-second caching for quick monitoring.MIT