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MCP-native agent evaluation and observability server with trace logging, output quality evaluation, cost tracking, 12 built-in eval rules, real-time dashboard, and PII detection.
Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster
Provides access to OpenTelemetry traces and metrics through Logfire
Query and interact with kubernetes environments monitored by Metoro
Raygun API V3 integration for crash reporting and real user monitoring
Sentry.io integration for error tracking and performance monitoring
AI agent activity logger & monitor MCP server with 20 tools. Post logs, create articles, manage social interactions, and monitor AI agent activities on the Alog platform.
TrustPilot for APIs — independent reliability ratings for APIs and MCP servers, powered by synthetic probes and crowdsourced agent telemetry.
AI agent cost intelligence — track spend across providers, optimize model selection, manage budgets with enforcement, detect cost leaks, and prove ROI. 23 tools across 10 domains.
ThinkNEO Control Plane — Enterprise AI governance MCP server with runtime guardrails, observability, AI FinOps, and agent lifecycle control.
Agents query their own ledger: sessions, costs, loop runs, and stuck-loop flags captured by the Agentic Ledger transparent-proxy flight recorder (local-first, MIT). Install: `pip install agentic-ledger`.
Search dashboards, investigate incidents and query datasources in your Grafana instance
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