"Target" matching MCP servers:

A stdio MCP server that audits other MCP servers over the live protocol. It connects to any MCP target (stdio or HTTP), lints every tool's schema for agent-usability, then actually calls the tools with deliberately broken inputs to see how the server handles them, and returns a 0–100 conformance score with a per-dimension breakdown rendered as Markdown.

MCP server for fenestra, a pure-Rust native GUI framework. Renders and verifies native UIs headlessly (no display, no GPU): a typed accessibility tree, semantic query/interact, contrast/focus-order/hit-target checks, screenshot diffing, and motion filmstrips.

Evidence-driven quality testing for Model Context Protocol servers. It connects as a real client, captures the complete model-facing contract, identifies agent-usability risks, measures context cost, and executes only explicitly approved target calls.

A minimal MCP server built with the official Python SDK that runs over stdio and exposes a health capability, providing a practical integration-testing target for AI and agent codebases.

Let AI agents inspect and drive running WPF (.NET desktop) apps: visual tree, dependency properties, data bindings and binding errors, DataContext, screenshots (popups included), plus click, select-item, text input, keyboard shortcuts, live property editing and wait-for — via runtime injection, with no changes to the target app.

Audits local datasets and ML training code for target, temporal, and entity leakage, PII exposure, and invalid evaluation design, returning structured evidence and pass/review/block verdicts before model training.

Enables comparison of mobile app screenshots against design mockups, with Calorix as the first integration target.

Drives test coverage toward target thresholds by coordinating workspace test execution with code-tree-mcp uncovered-symbol analysis.

Visual frontend accessibility inspector MCP server. WCAG contrast checking, touch target validation, heading hierarchy audits, responsive screenshots, and S+ grading across mobile and desktop viewports.

Enables AI assistants to query, create, and manage Targetprocess entities like user stories, bugs, tasks, and features through natural language and structured tools.

A development tool that serves as a bridge to launch and inspect other stdio MCP servers on demand, ensuring a clean process for every operation. It enables developers to bypass host caching issues by providing tools to list and call target server components during active development.

Enables ChatGPT to initiate a visible, evidence-backed UI/UX audit by returning an exact workspace URL through a read-only start_audit endpoint, where page-scoped Site Tools can measure and judge the target without claiming capture.

A local observation-only MCP server for macOS that provides secure, atomic evidence capture with strict target approval and manifest-based output.