Multiplayer

Product Introduction

1. Multiplayer is a full-stack session recording platform that captures user interactions, system behavior, and backend operations in unified session replays. It automatically correlates frontend events, API calls, network activity, and infrastructure metrics into AI-ready datasets. The platform supports browser extensions, SDKs, and server-side integrations to capture technical and user context across the entire stack.
2. The core value lies in eliminating context gaps between developers, QA teams, and stakeholders by providing complete system visibility. It enables AI-assisted debugging and feature development through structured, annotated recordings that combine visual user flows with technical telemetry. The platform serves as a single source of truth for reproducing issues and documenting system behavior.

Main Features

1. On-demand session recording allows instant capture of user interactions through browser extensions, in-app widgets, or SDK triggers. Developers can initiate recordings during bug reproduction, while support teams can collect customer-reported issues without requiring technical skills. All recordings include correlated network requests, console logs, and infrastructure metrics.
2. Continuous background recording automatically captures all user sessions with configurable retention policies. This ensures ephemeral bugs and unreported issues are preserved with full system context. Recordings are indexed by error types, user journeys, and API endpoints for instant retrieval.
3. AI-ready annotation tools let teams mark up recordings with sketches, text notes, and technical specifications directly on screenshots. Annotations are stored as structured metadata that integrates with AI coding assistants and Jira tickets. The system automatically generates development tasks from annotated recordings with linked API traces and error logs.

Problems Solved

1. Eliminates "no repro" scenarios by preserving complete system state during both reported and unreported errors. Solves context fragmentation between frontend debugging tools, APM solutions, and user session replays. Addresses incomplete bug reports from non-technical users through guided recording workflows.
2. Targets engineering teams managing complex distributed systems, QA engineers troubleshooting flaky tests, and customer support teams handling user-reported issues. Particularly valuable for organizations using microservices architectures or AI-assisted development tools.
3. Enables rapid diagnosis of production issues where logs alone are insufficient. Used when customers report vague errors like "it doesn't work," requiring visual context paired with backend traces. Critical for debugging race conditions in CI/CD pipelines where traditional logging misses timing dependencies.

Unique Advantages

1. Unlike APM tools that focus on metrics or session replay tools limited to frontend visualization, Multiplayer correlates user actions with API payloads, database queries, and infrastructure telemetry. Outperforms error monitoring platforms by preserving pre-error system states and complete user flows leading to failures.
2. Introduces MCP (Multiplayer Context Protocol), a proprietary format that packages visual session data with OpenTelemetry traces and custom annotations. Features AI training mode that converts recordings into structured datasets for machine learning models. Offers VS Code and Chrome extensions that integrate recordings directly into development environments.
3. Reduces mean-time-to-resolution (MTTR) by 70% through AI-generated root cause suggestions based on annotated recordings. Provides GDPR-compliant data masking at capture time rather than post-processing. Supports hybrid deployment with both SaaS and self-hosted MCP server options for enterprise environments.

Frequently Asked Questions (FAQ)

1. How does Multiplayer handle sensitive data in recordings? All session data is encrypted in transit and at rest with field-level redaction rules for PII. The browser extension automatically masks input fields marked as sensitive, while the MCP server supports regex-based pattern obscuring for API payloads.
2. Can I integrate Multiplayer with existing CI/CD pipelines? Yes, the platform provides webhooks and GitHub Actions integration for automated analysis of test failures. Recordings from failed tests are automatically attached to Jira/GitLab issues with correlated network and console logs.
3. What infrastructure is required for self-hosted deployments? The MCP server can be deployed as a Docker container with minimum 4GB RAM and 50GB storage. It supports PostgreSQL for metadata storage and S3-compatible object storage for session data. All components are available through Terraform modules for cloud-agnostic deployment.