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Instrument AI agent systems with high-signal telemetry and runbook-driven incident response for reliability and safety.

Build resilient browser automations using Playwright MCP with robust selectors, retries, and deterministic task execution.

Build practical Unraid API automations for server operations, health checks, and routine maintenance with safe execution controls.

Open-source observability platform purpose-built for AI agents, with OpenTelemetry-native tracing, plain-English signals, an evals SDK and CLI, SQL dashboards, dataset annotation, and MCP/CLI access, self-hostable with Apache-2.0 SDKs for Python and TypeScript.

Open-source AI gateway from Portkey for routing to 1600+ LLMs through one OpenAI-compatible API, with automatic retries, fallbacks, load balancing, conditional routing, guardrails, caching, and observability, self-hostable via npx, Docker, or edge deployments.

Official AWS Labs MCP server for serverless development that gives AI assistants contextual guidance plus tools to initialize, build, deploy, and troubleshoot AWS SAM and Lambda-based serverless applications.

Production-ready LLM app and agentic workflow platform with visual workflows, RAG pipelines, agent capabilities, model management, observability, prompt IDE, APIs, Dify Cloud, and self-hosted Docker Compose deployment.

Microsoft framework for building, orchestrating, and deploying production AI agents and multi-agent workflows across Python and .NET, with workflows, middleware, OpenTelemetry, Foundry hosting, A2A, MCP, and Semantic Kernel migration support.

Open-source Python and TypeScript SDK for building model-driven AI agents with any model provider, MCP tools, streaming, multi-agent patterns, structured output, observability, hooks, guardrails, and production deployment guidance.

Open-source TypeScript agent engineering framework and platform for building AI agents with tools, memory, workflows, RAG, guardrails, evals, MCP, voice, and VoltOps observability.

Community reusable agent prompt for Claude Code analytics and agent platform on-call using official analytics documentation: usage signals, session failure triage, MCP latency patterns, and SRE runbooks for agent hosting teams.

Expert capability pack for Agent SDK OpenTelemetry export using CLAUDE_CODE_ENABLE_TELEMETRY, OTLP exporters, and monitoring-usage reference variables documented for Claude Code CLI subprocesses.

AGPL-licensed MCP-native platform with a private MCP registry, MCP gateway, Kubernetes MCP orchestrator, access control, credential resolution, observability, and deterministic tool guardrails for shared AI deployments.

Open source MCP server and tool framework from Google for connecting AI agents, IDEs, and applications to databases through prebuilt or custom database tools.

Apache-2.0 data orchestration platform for building, testing, deploying, observing, and automating data assets, jobs, schedules, sensors, and pipelines.

Open-source LLMOps platform for prompt management, prompt versioning, evaluation, and observability across LLM applications.

Open-source observability platform and SDK for tracing, debugging, replaying, and cost-monitoring AI agent and LLM application runs.

Open-source LLM observability platform for logging, metrics, cost tracking, feedback, and gateway workflows.

Connect Claude Code, Cursor, Copilot, Windsurf, and other MCP clients to the public Langfuse documentation MCP server for tracing, prompt management, evaluation, and agent observability implementation help.

A practical walkthrough of exporting OpenTelemetry traces, metrics, and events from the Claude Agent SDK: enabling telemetry, configuring OTLP exporters, reading agent spans, linking traces to your app, and controlling sensitive data.

A practical guide to instrumenting LLM and agent applications with traces, metrics, logs, GenAI semantic attributes, sampling, and privacy-aware redaction so teams can debug model calls, tool use, retries, and cost.

A source-backed Model Context Protocol starter collection for SaaS builders: connect product code, database state, payments, deployment telemetry, issue tracking, and production errors while keeping MCP authorization and tool boundaries explicit.

Open-source observability and evaluation tooling for LLM applications, traces, datasets, and experiments.

Observability, evaluation, tracing, and testing platform for LLM applications and agent workflows.

Parse web, application, and system logs into structured incidents and timelines with anomaly detection.

The official InfluxData MCP server for InfluxDB 3 (Core, Enterprise, Cloud Dedicated, Clustered, and Cloud Serverless). It lets LLMs run SQL queries, write line-protocol data, inspect databases and measurement schemas, manage databases and tokens, and check cluster health over the Model Context Protocol.

The official OpenSearch Project MCP server (opensearch-mcp-server-py) that lets AI assistants query and operate OpenSearch clusters — listing indices, reading mappings, running Query DSL and PPL searches, inspecting shards and cluster health — over stdio or streaming transports, with basic-auth, AWS IAM, and header-based authentication.

Official AWS Labs MCP server that gives troubleshooting agents task-oriented access to Amazon CloudWatch metrics, alarms, logs, and PromQL queries for AI-assisted root-cause analysis and remediation recommendations.

Query observability data, manage dashboards, and monitor your systems from Claude — run APL queries against datasets, list metrics, inspect monitors, and retrieve saved queries — with the official Axiom remote MCP server.

Connect Claude to Dynatrace observability data — run DQL queries, investigate problems and vulnerabilities, analyze Kubernetes events, forecast timeseries, and resolve entity names — with the official Dynatrace open-source MCP server.