List application guides that apply Blueprint principles to engineering challenges such as security, evaluation, and observability. Use to discover available guides before exploring details.
MIT
759,559 tools. Updated 2026-11-09 08:38
"A service for application performance monitoring and observability" matching MCP tools:
- Get a one-call observability health rollup: overall status, per-service indicators, and timestamp. Use for session-start green checks, dashboards, and pre-deploy smoke tests.MIT
- Retrieve comprehensive task-level execution metrics across all workflows to gain insights into performance, application usage, and statistics for automation monitoring and optimization.GPL 3.0
- Monitor chat session quotas and usage metrics by retrieving aggregate statistics including total sessions, messages, and daily token consumption for observability.MIT
- Retrieve all service groups (folders) to browse the service hierarchy and find group IDs for monitoring operations.AGPL 3.0
- Assess production readiness for shipping by evaluating NFR compliance, error handling, observability, performance, and security. Produces a ship checklist and go/no-go assessment.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceProvides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.11MIT
- 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.401Apache 2.0
Matching MCP Connectors
performance-review MCP — wraps StupidAPIs (keyless — no credential needed)
- Chipp ObservabilityOAuth
Chipp: a deployed project's database (read), logs, errors, analytics, CI status, custom actions.
- Check service status, performance metrics, trust score, and pricing for crypto token risk intelligence. Verify the service is operational before making paid calls.MIT
- Automatically builds a complete monitoring dashboard for an application. Discovers tiers, business transactions, and health rules, then creates a multi-section dashboard with configurable focus and time range.ISC
- Create a new Coolify resource: application, database, or service, with configurable source, engine, or service type.MIT
- Retrieve detailed information about a specific Railway service, including configuration, deployment status, and health metrics for monitoring and management.MIT
- Retrieve detailed configuration, status, and health information for a specific Railway service to monitor deployments and check service details.MIT
- Retrieve aggregate performance metrics and system-wide statistics to monitor application health, trends, and high-level performance.MIT
- List OCI observability services including APM, Logging, Log Analytics, Monitoring, and Stack Monitoring with optional type filter.Apache 2.0
- Generate an observability requirements document from the PRD, specifying error tracking, analytics events, SLOs, dashboards, and alerting rules to design monitoring before build.MIT
- List storage mounts for any application, service, or database while sensitive host paths are redacted.MIT
- Lists OCI Observability services including APM, Logging, Monitoring, and more, filterable by type, to support cost estimation and service discovery.Apache 2.0
- Search Rootly Observability logs by service, severity, index, trace ID, attributes, or free text, then page through newest-first results within a specified time window.Apache 2.0
- List all business transactions for an AppDynamics application, with optional tier filter, to get IDs needed for performance monitoring.ISC
- Retrieve average response time, calls per minute, and errors per minute for a specific service endpoint using its ID.ISC
- Get ZDX performance metrics for one application (time-series).MIT
- Retrieve detailed performance data for recently executed PostgreSQL queries using pg_stat_monitor, including client IP and time-bucket breakdowns for real-time monitoring and client-specific analysis.MIT