"Observability" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AI-native observability and security for engineering teams and coding agents. Search production logs in plain language, investigate issues and root causes, and create or edit live dashboards in your Sazabi workspace. Requires a Sazabi account (OAuth, or a secret key via the X-Sazabi-Secret-Key header).
Game observability for Three.js, Phaser, Babylon.js, PlayCanvas, Unity, Godot, Unreal and GameMaker games. Ask what's wrong with your game and get ranked findings from real players' sessions: frame-time spikes by level, errors with the gameplay just before them, where players die, version comparisons, store reviews and each game's own dashboard. Sign in with your Glitchless account (OAuth); a new workspace can start on a demo game.
Query Telemetry Machine observability data and instrument your apps with OpenTelemetry.
MCP observability: analyse MCP server usage, investigate sessions, and instrument MCP servers.
Chipp: a deployed project's database (read), logs, errors, analytics, CI status, custom actions.
Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.
Observability for AI apps: investigate traces, logs, LLM usage, replays and crashes; manage alerts.
Production observability for AI agents: search runs, read evaluations, acknowledge incidents.
Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.
Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.
AI agent observability for production traces, natural-language insights, and improvement loops.
Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.
Monitor, troubleshoot, and optimize your technology stack with Intelligent Observability.
Query Honeycomb observability data: traces, events, metrics, SLOs, triggers, and boards.
Data + AI observability — monitor and troubleshoot production-grade agents and the context they use.
MCP observability. Query live traffic, errors, duration, and alerts from your AI agent.
Access New Relic observability data through MCP - query metrics, logs, traces, entities, and more
