Local MCP server providing AI-driven access to Dynatrace observability data via natural language queries.
Key Features: AI-powered DQL generation and explanation Browser-based OAuth Authorization Code Flow authentication Token storage in OS keychain or file system Java MCP server providing full observability and management of Langfuse traces, sessions, prompts, datasets, and evaluations.
Key Features: Paginated trace and session querying with filtering Error-level exception tracking and detailed retrieval Full prompt lifecycle management with versioning and labels Google Ads MCP server — manage campaigns, keywords, and metrics.
MCP server providing live status and incident details for 3355 software services from official status pages.
Key Features: Access normalized live status for 3355 major software services Fetch structured incident details automatically for non-operational services Cache status data with 60-second expiry and option to bypass cache MCP server for Altmetric APIs - track research attention across news, policy, social media, and more
Access and manage Grafana dashboards, datasources, queries, incidents, and permissions via MCP.
Key Features: Dashboard search, summary, property extraction, and updates Prometheus and Loki querying with metadata access Incident creation, listing, and activity management MCP server to track and monitor deployments across Vercel, Netlify, and Cloudflare Pages with live status and logs.
Key Features: Multi-platform support: Vercel, Netlify, Cloudflare Pages Real-time deployment status and progress monitoring Access deployment logs and history Independent monitoring: status, monitors, and incidents from your StackWitness workspace.
MCP server for AI agent evaluation with trace logging, output quality checks, cost tracking, and a real-time dashboard.
Key Features: Hierarchical span trace logging with latency, token usage, and cost 13 built-in evaluation rules including PII and prompt injection detection Cost aggregation and budget threshold alerts CLI-first homelab management server for monitoring, Docker control, Wake-on-LAN, network scanning, and alerts via SSH.
Key Features: System resource monitoring (CPU, memory, disk, uptime) Docker container listing and management Network inventory scanning and port topology mapping MCP server proxying Sentry API for developer workflows, enabling AI agents to query errors, issues, and performance data.
Key Features: Middleware MCP server for Sentry API Supports AI-powered natural language search with LLM providers Compatible with remote and stdio transports MCP server providing real-time operational status and incident tracking for major digital platforms and AI providers.
Key Features: Supports monitoring of major digital platforms and AI providers Provides detailed incident tracking with resolution status Real-time service status updates with impact analysis