BugMojo vs FullStory: Digital Experience Replay vs Dev Bug Capture
FullStory is always-on digital-experience analytics with sitewide replay and heatmaps. BugMojo is no-deploy, per-bug capture that hands an rrweb replay, console, and network context to AI coding agents over MCP. Here is where each one honestly wins.
Vivek Kumar7 min read
FullStory and BugMojo both record what happens in a browser, but they are built for opposite jobs. FullStory is a digital-experience analytics platform: it deploys a JavaScript snippet across your whole site and captures every real user's session continuously, then surfaces heatmaps, funnels, and frustration signals for product and UX teams. BugMojo is a developer and QA bug-capture tool: a browser extension records one reproducible defect on demand, bundling an rrweb DOM replay with console logs, network requests, and a screenshot, then exposes that record to AI coding agents.
This comparison is two-sided on purpose. FullStory wins decisively on behavioral analytics, heatmaps, and enterprise governance. BugMojo wins on no-deploy ad-hoc capture and on the one row no analytics vendor currently fills: a Model Context Protocol server that lets coding agents read and triage bug records from inside the IDE. If you are choosing between these tools, you are probably solving one of two different problems, and the right answer follows from which problem you actually have.
BugMojo vs FullStory: the short answer
FullStory is enterprise digital-experience analytics: always-on session replay, heatmaps, funnels, and frustration signals across every real user. BugMojo is developer bug capture: one extension click records an rrweb replay plus console and network logs, then hands the report to AI coding agents through a Model Context Protocol server.
| Feature | BugMojo | FullStory |
|---|---|---|
| Capture model | On-demand browser extension | Always-on sitewide snippet |
| No-deploy capture (no code shipped) | ✓ | — |
| rrweb DOM session replay | ✓ | ✓ |
| Per-bug report with console + network attached | ✓ | — |
| Sitewide behavioral analytics, heatmaps, funnels | — | ✓ |
| Auto-detected frustration signals (rage clicks, sentiment) | — | ✓ |
| Enterprise masking and governance | Client-side PII redaction | Advanced masking + governance |
| MCP server for AI coding agents | ✓ | — |
| Free tier | Yes, no viewer seat cap | 30,000 sessions/mo, 10 seats |
| Self-hosted deployment | Yes (Docker) | No |
How each tool captures a session
The clearest way to understand these tools is to look at how the recording starts.
FullStory is always-on and sitewide. It cannot capture anything until its JavaScript snippet is deployed between the opening and closing <head> tags on every page, or installed through the @fullstory/browser NPM package. Once that script loads, FullStory captures sessions automatically for the users it is configured to record. You deploy once and get continuous coverage of real traffic. That is the right model for analytics, but it means capture depends on a deploy, runs across users who never asked to be recorded (hence the masking controls), and produces a firehose you query rather than a single artifact you hand off.
BugMojo is on-demand and per-bug. Nothing records until a person clicks the extension. The output is one scoped report for one defect: an rrweb DOM replay, the console log, the network waterfall, and a screenshot. The limitation is the mirror image of FullStory's strength: BugMojo will never tell you what 10,000 anonymous users did last Tuesday, because it was not watching them. It was waiting for someone to say 'this is broken, capture it.'
Where BugMojo wins
BugMojo's advantages are about speed of capture and where the data goes. Three things stand out.
- No-deploy, per-bug capture. FullStory needs its snippet shipped sitewide before it records anything. BugMojo captures through a browser extension, so a tester, designer, or support agent can record a bug on any site, including staging behind auth or a third-party page, without shipping code or waiting on a release. The honest tradeoff: FullStory then sees all users continuously, while BugMojo only captures the session a person deliberately records.
- Engineering-grade context in one artifact. A BugMojo report bundles the rrweb replay with the
consolelog, the network requests, and a screenshot, scoped to a single reproducible defect. That is the exact payload an engineer needs to reproduce and fix, without scrubbing through hours of analytics sessions to find the one that broke. - The MCP / AI-agent row. BugMojo ships a Model Context Protocol server, an open standard from Anthropic for connecting AI applications to external tools. Agents like Claude Code, Cursor, and Windsurf can read, triage, and update bug records, replay, console, and network context included, directly from the editor. As of 2026, no digital-experience-analytics vendor, FullStory included, ships an MCP server that exposes bug data to your coding agent.
Client-side PII redaction runs before any data leaves the browser, and a self-hosted Docker build keeps bug data, which often contains internal URLs and customer behavior, inside your own network.
Where FullStory wins
FullStory is the stronger product for its category, and it is not close on the things it is built for.
- Behavioral analytics at scale. FullStory's 'tagless autocapture' records every interaction across real traffic and auto-detects friction signals such as rage clicks and sentiment, then rolls them into dashboards, funnels, and heatmaps. BugMojo does none of this; it captures one bug, not aggregate behavior.
- Discovery and UX research. If you need to know where users struggle across thousands of sessions, FullStory is engineered for exactly that. Its segment-level replay and conversion analysis are core product features, not add-ons.
- Enterprise governance and maturity. Configurable form privacy, 'capture what you need, mask what you don't' controls, server-side events, and a one-year retention window come with a platform that holds a 4.5/5 rating across more than 1,000 verified G2 reviews. Reviewers consistently praise replay fidelity and auto-captured analytics.
The common complaints in those same reviews are also worth naming: cost at scale and a learning curve. FullStory's free plan is generous, with 30,000 sessions per month, 10 seats, and one year of replay retention, but paid Business and Enterprise tiers are quote-based, and dashboards, configurable form privacy, mobile apps, and StoryAI are paid-only.
Which should you choose
Match the tool to the job, not the feature list.
- Pick FullStory if your question is behavioral: where do users drop off, which flows cause frustration, what does the funnel look like across real traffic. That is product and UX research, and FullStory owns it.
- Pick BugMojo if your question is engineering: a specific defect needs to become a precise, reproducible ticket that an engineer, or an AI coding agent, can act on immediately. No deploy, full technical context, MCP handoff.
The plans are genuinely hard to compare line for line because they price different things. FullStory prices captured sessions for analytics; BugMojo prices bug capture and AI-agent triage, with a free tier that has no viewer seat cap and a self-hosted option. Comparing 'sessions per month' to 'bug reports' is apples to oranges, and any honest comparison should say so out loud.
Install the free BugMojo extension, record an rrweb session replay plus console and network logs in one click, and let Claude Code or Cursor triage it over MCP. No snippet, no sitewide deploy.
Install the extensionFrequently asked questions
Frequently asked questions
Sources
- FullstoryFree Plan details (30,000 sessions/mo, 10 seats, 1-year retention) — Fullstory Help Center (2025)
- Installing the Fullstory Script (JS snippet in <head> before capture) — Fullstory Help Center (2025)
- Fullstory Session Replay platform page (tagless autocapture, rage-click/sentiment signals, masking) — Fullstory (2025)
- Fullstory reviews and ratings (4.5/5 from 1,048 reviews) — G2 (2026)
- What is the Model Context Protocol — Model Context Protocol (Anthropic) (2025)
- Getting Started - Browser V2 (snippet or @fullstory/browser NPM) — Fullstory Developer Guide (2025)
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