A self-hosted MCP server that provides tools for structured reasoning, confidence calibration, and detecting recurring gaps in AI outputs, aiming to reduce workload by improving verification and attention allocation.
The first MCP server that verifies AI outputs in real-time, ensuring every LLM response is correct, complete, and reliable before it reaches your editor.
A QA verification MCP server that prevents AI hallucination by using adversarial verification with screenshots and subagents for accessibility, visual regression, and UI verification.
An MCP server that guides a sequential QA workflow, requiring initial project and user story inputs, then crawls web apps, generates test cases and Playwright scripts, runs tests, and files Jira bugs with proof.
MCP server that lets AI agents execute structured business processes by exposing process steps as tools with a sequenced event bus to prevent skipping steps.
