"Traditional Welsh Dish Cawl" matching MCP servers:

Browser acceptance testing for AI agent deliverables: verify agent output in real Chromium from JSON specs, with MCP server, visual regression, multi-browser support and GitHub Actions.

An adversarial code verification system that uses a Verifier-Critic debate loop to systematically uncover security, correctness, and performance issues. It implements the Socratic method to provide deep semantic analysis and dialectical reasoning beyond traditional static linting.

AI-powered code review tool that detects AI-generated code defects invisible to traditional linters — hallucinated packages, deprecated APIs, cross-file contradictions, hidden security anti-patterns, and over-engineering. Works as a standalone CLI, GitHub Action, or MCP server. Supports TypeScript, Python, Java, Go, and Kotlin. Free for individuals, no API key required.

Provides 23 Android development tools for Gradle builds, emulator/device lifecycle, APK install/launch, screenshots, logs, ADB and UI Automator automation, along with an android-dev skill for guided workflows.

Enables deliverable conformance and evidence-chain checks by turning requirements into executable specs, validating numbers against a provenance ledger, and auditing PDF/OOXML metadata and archive manifests.

MCP server for debugging Unity Editor managed code, supporting attach, breakpoints, stepping, call stack inspection, and read-only evaluation.

Enables autonomous agents to automatically repair and guard tool-call schemas through deterministic AST analysis and parameter projection validation, ensuring reliable, schema-compliant interactions in MCP-compatible environments.

Enables verification of deployment-scoped model-visible DSH tool surface conformance by checking recorded tool identities and schemas against approved locks, reporting only drift categories and hashes.

Lets users inspect and verify content-addressed schema migration evidence offline, checking idempotence, reversible rollback, required invariants, and explicit lossy-field disclosure without executing migrations or accessing data.

An MCP server that audits DeepSeek Harness (DSH) plugins for security threats using static and dynamic analysis. It enables automatic safety reviews of community plugins before installation, detecting risks like credential theft and prompt injection.

AI-powered backend diagnostics MCP server that statically analyzes frontend and backend code to catch cross-boundary bugs, contract drift, missing validation, security gaps, and performance anti-patterns before deployment.

Enables inspecting ONNX models, probing the deployment environment, and benchmarking inference latency and FPS either locally or on remote SSH targets such as Linux workstations and Jetson devices. Benchmark results are validated against FPS, P95 latency and model-size constraints to produce PASS/FAIL deployment gates.