Operational governance
Standardize quality with roles, audit trail, bug workflow, and clear ownership across QA, engineering, and management.
Enterprise QA Platform
Scalability and Governance for Large Teams
Take test automation to the next level with centralized orchestration, enterprise security and full observability.
Execution scale
Start in regular mode, evolve to queue + workers, and connect QANode to the pipeline through CLI and integration tokens.
Evidence based decisions
Logs, screenshots, consolidated PDF report, and execution context to support technical, management, and release decisions.
MCP Server
Your AI operating QANode with real context
Connect AI clients to QANode to create, investigate, measure and maintain the QA operation using existing projects, scenarios, runs, defects, documents and dashboards.
Not a chatbot. Permissioned operations.
MCP exposes QANode capabilities to AI with tokens, permissions and audit trail. The AI does not need a password or browser session to work within the user's limits.
“Analyze the critical project scenarios, find open defects and create a risk dashboard for management.”
Scenario creation
AI can create flows, connect nodes, inspect schemas and validate graph structure before execution.
Scenario maintenance
Inspect steps, repair selectors, adjust node data and reuse components without leaving project context.
Defect diagnosis
Read failed runs, evidence, logs, screenshots, attachments and history to explain likely causes with traceability.
Numbers for management
Ask for coverage, stability, recent failures, execution time and project risk using real operational data.
Dashboard creation
Build metrics, tables and charts for executive follow-up without manual database queries.
Governance preserved
Each action respects permissions, tokens, roles and administrative limits defined inside QANode.
Assistant connected to operations
AI works on top of what exists in QANode, not generic answers outside the tool.
Conversations that become action
From diagnosis to execution, the same context can inspect, change, run and document the investigation.
Control for enterprise environments
Access is disabled by default, tokens are revocable and scope is limited by user permissions.
Enterprise features in the platform
Everything you need to operate at scale with governance and traceability.
- Visual node-based editor for any test type
- Native mobile automation connected to the QA operation
- Multiple execution workers for horizontal scale
- Artifact storage with S3-compatible
- Dashboards and query builder for tracking
- Profile permissions and dashboard ownership
- CI/CD integration with CLI, tokens, and pipeline execution
- Bug workflow with queues, claim, history, and investigation sandbox
- MCP server for AI assistants with tokens and permissions
- External provider over HTTP for custom nodes in any language
- Deployment in the company internal server
- Deploy with Docker Compose and Docker Swarm
Reference architecture
Structure used for enterprise operations with separation of responsibilities.
React frontend + flow canvas
Fastify API for orchestration and auth
Execution worker with queue system
Mobile layer integrated into the validation flow
Postgres + S3-compatible artifact storage
Extension through external node providers
Module separation for scalability and maintainability