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amplitude Claude Code Plugin

Category
Monitoring
Topics
Monitoring & Observability · Data Engineering & Analytics
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-09-11 (UTC)
Source (GitHub) last updated
2026-10-15 (UTC) (today)

The explanation below is AI-generated. Please verify it against the sources.

This plugin turns Claude (Claude Code, Cursor, or Claude CLI) into a working partner for the Amplitude analytics platform. It connects through an Amplitude MCP server so that Claude can read chart and dashboard data, review experiment results, analyze customer feedback, and support instrumentation planning for a codebase. A set of built-in skills auto-trigger based on natural-language requests, covering tasks such as building charts, summarizing account health, and producing daily or weekly briefings. It requires an active Amplitude account with API access plus Node.js and an MCP-compatible client. The plugin does not perform analytics on its own; it operates on data pulled from a connected Amplitude project.

About the service

Amplitude is a product analytics SaaS platform used to track user behavior, run experiments, manage feature rollouts, replay sessions, and analyze marketing and product data. It also offers AI-driven agent features and an MCP server that external tools, including this plugin, can call to read and act on analytics data. Using the plugin requires a registered Amplitude account and API keys tied to a specific project.

What you can do with amplitude

  • Get explanations of trends and anomalies in existing charts or dashboards
  • Build new charts and dashboards from plain-language descriptions
  • Review A/B experiment results and monitor active experiments with statistical checks
  • Summarize customer feedback into recurring themes and priorities
  • Assess B2B account health using usage and engagement signals
  • Receive daily or weekly briefings covering metrics, experiments, feedback, and deployments
  • Surface prioritized product opportunities scored with the RICE framework, drawn from analytics, experiments, replays, and feedback
  • Plan and implement analytics instrumentation for a PR, branch, or feature, down to specific event and code locations
  • Audit a tracking plan to find stale events and properties before they are removed

Sources

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