Fullstory

See what actually happened behind every number.

Fullstory MCP gives Claude both halves of product investigation: (1) analytics to size a problem and (2) session replay to see why it happened. Ask where checkout is leaking, why a metric moved, or how to reproduce a bug. Claude discovers your pages and elements, computes the metric or funnel, and opens the sessions behind the drop. Every answer links to Fullstory, so you can check the work in 1 click.

Analytics tools give you numbers; error logs only catch code exceptions. Fullstory shows what users actually experienced - including silent failures that never threw an error - so "conversion dropped 12%" becomes "the coupon field fails 5x more for logged-out users."

Because every answer links to the proof, you can give Claude a standing job as a scheduled task:

(1) Silent-failure watch. Checks key flows hourly for frustration without a logged error and flags anything new.

(2) Bug scoping. Opens the session behind a new ticket, diffs the screen when it broke, and counts who else hit it.

(3) Opportunity engine. Compares converters with drop-offs every Monday and ranks fixes by users recovered.

What Claude can do:

(1) Map a session, then zoom to the moment. Read a compact timeline first, then jump to the timestamp where it broke to pull the screenshot, DOM, and before/after screen diff - keeping context light. (2) Review sessions at scale. Because sessions load as compact structured data, read dozens of replays in 1 run and surface why users gave up. (3) Build segments, metrics, & funnels in your own words. Discover your pages, elements, and events so questions map to your product. (4) Compute on demand. Run counts, rates, trends, funnels, journeys, dashboards, and friction breakdowns by device, browser, geography, or user property.

Fullstory autocaptures clicks, page views, form inputs, console & network errors, and frustration signals (rage and dead clicks), so many questions need no instrumentation at all.