"Observability" matching MCP connectors:
GET /v1/connectors ā 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).
Agent observability via OpenTelemetry: drift, loop and hijack alerts, e.g. after a prompt injection.
Query your AI agents' traces, errors, cost and alerts in Rius, the agent observability platform.
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.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Public, read-only MCP for Myndock service discovery and observability. Query aggregate origin HTTP/MCP activity, country and action totals, latency, and acknowledged message deliveries over 1, 24, or 168 hours. Tools: get_service_info, get_statistics, get_support_info. No account or API key required. Discover a separate enrollment-only API for private agent tasks and encrypted exchanges; those actions are not public MCP tools.
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
Public AI web-readiness scanner and machine-facing observability discovery service.
Read-only Increase banking observability plus one safe non-money-moving write, for AI agents.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: šµļø Run advanced Root-cause analysis over recent logs š¦ List and describe Pipelines š¤ Export and filter Logs with powerful query syntax
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
MCP observability: analyse MCP server usage, investigate sessions, and instrument MCP servers.
AI observability, explainability and governance: drift, fairness, ISO 42001, risk register.
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.
Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence across 17 channels without analyzing content.
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.
LLM Observability & Orchestration Agent (Langchain)
LLM Observability & Orchestration Agent (LangChain Community)
LLM Orchestration Observability Agent
LLM Observability & Orchestration Agent
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.
