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Run low-risk SaaS pricing experiments with clear hypotheses, segment-aware metrics, and decision-safe rollout controls.

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 Tableau datasources, list and view workbooks, get rendered view images, explore Pulse metrics, search content, and run admin insights from Claude — with the official Tableau MCP server covering 30+ tools for Tableau Server and Tableau Cloud.

Expert Claude Code analytics adoption capability pack for enabling team and enterprise dashboards, GitHub contribution metrics, adoption tracking, ROI reporting, and OpenTelemetry complements with source-backed rollout steps.

The official Render MCP server lets LLMs manage Render resources: create and manage web services, static sites, cron jobs, Postgres and Key-Value instances, monitor deploys, query logs and metrics, and run read-only SQL against Render Postgres.

Official data.gouv.fr MCP server for searching French national open datasets, exploring organizations and data services, inspecting resources, querying tabular data, and retrieving dataset metrics through Claude.

Direct Prometheus MCP server that lets Claude run PromQL instant and range queries, discover metrics, inspect metadata, and review scrape targets.

Apache-2.0 library for loading, computing, comparing, saving, and sharing evaluation modules for machine learning models and datasets.

Open-source Python framework for unit-testing LLM applications, agents, RAG pipelines, metrics, regression suites, and traces.

Python framework from Stanford NLP for programming language-model systems with signatures, modules, tools, metrics, and optimizers instead of hand-written prompts.

Open-source data and model versioning tool for tracking datasets, ML artifacts, pipelines, experiments, metrics, and remote storage alongside Git.

Connect Claude to Grafana for metrics, logs, dashboards, alerting, incidents, and observability workflows.

Connect Claude to Microsandbox microVMs for sandbox lifecycle, command execution, filesystem, volume, and metrics workflows.

Open-source evaluation and tracing framework for measuring AI agents, RAG systems, LLM apps, retrieval quality, feedback metrics, and trace-level regressions.

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.

Official Datadog MCP Server for connecting Claude, Codex, Cursor, and other MCP clients to Datadog observability, incidents, logs, metrics, traces, dashboards, monitors, notebooks, services, and security signals.

A source-backed collection for building repeatable LLM eval and prompt testing workflows with open-source tools: prompt regression tests, RAG and agent metrics, human review datasets, traces, prompt optimization, and release gates.

Real-time MCP server monitoring statusline showing connected servers, active tools, and performance metrics for Claude Code MCP integration

Time-tracking statusline showing elapsed session duration, tokens per minute rate, and estimated cost with productivity metrics

Collects and reports detailed metrics about the coding session when Claude stops.

Monitors application performance metrics, identifies bottlenecks, and provides optimization recommendations.

SessionStart hook that prints a daily Claude Code retro at the top of every session — competency grade (0–100, A–F), 14-day efficiency sparklines, and a year-long contributions heatmap.

Multi-provider AI performance dashboard with context occupancy tracking, truncation warnings, TTFT latency, tokens/min rate, and model comparison metrics.

Runs performance benchmarks and generates comparison report when session ends.

Guide to Claude Code usage analytics for team rollouts: dashboard metrics, adoption KPIs, monitoring usage docs, and privacy-aware reporting.

The official Mux MCP server (@mux/mcp) that gives AI agents access to the Mux API for video and analytics. It uses a "Code Mode" scheme — exposing a documentation-search tool and a code tool that runs agent-written TypeScript against the Mux SDK in an isolated sandbox — to work with Mux Video (assets, live streams, playback IDs, uploads) and Mux Data (viewer metrics and monitoring).

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.

Debug, evaluate, and monitor LLM applications from Claude — read traces and spans, score outputs, save prompts, run evaluation experiments, and query project metrics — with the official Opik MCP server by Comet.

Connect Claude to Weights & Biases — query runs, metrics, and experiments, analyze Weave traces, inspect registries and artifacts, and create reports — with the official W&B MCP server.