"Evaluating an Expo Go App and Associated React Native Code in an Android Emulator" matching MCP connectors:
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Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.
Testing, benchmarking and auditing autonomous AI agents — methods, harnesses, evidence
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
Conformance checker for MCP servers. Free, no key, verdicts recomputable and re-measured daily.
Accessibility and WCAG data for your own websites: fix lists, live checks, and fix validation.
Author and validate Calaf workspace seeds against the app's real importer. No account needed.
Generate synthetic random user data for testing, demos, and development without using real persona.
Simulate, test, and analyze cloud architectures without deploying real infrastructure. Cloud World Model enables AI agents to model cloud environments, evaluate architecture behavior and costs, run failure and chaos simulations, and explore infrastructure scenarios across cloud providers.
Workflow planning, recovery checkpoints, coordination, fixtures, and compatibility tools for agents.
Moderated usability testing: read sessions, notes, transcripts, reports, and draft test scenarios.
Free platform to test MCP clients without installing anything. Create mock tools with dynamic templates, configurable delays, conditions (if/then), and response sequences. Supports JSON-RPC 2.0 over Streamable HTTP. Built-in text_echo and json_echo tools. Rate-limited tiers: anonymous (5 calls/min, 1 mock tool), registered (10 calls/min, 4 mock tools), premium (60 calls/min, unlimited). Zero setup — no install, no registration required. More info: https://www.testmcp.dev
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
Test a Python package/version on a target runtime. Scoped Linux install and usable-import evidence.
Validate JSON, YAML, XML and CSV with exact line/column errors and silent-corruption warnings.
Probe a signup URL you own and score whether an AI agent can sign up unaided.
Benchmark MCP tool selection with metadata-only routing, collision, abstention, and holdout checks.
Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.
Synthetic checks, nightly regression replay and model-drift alerts for AI agents
Test HTTP 429/503 retries and Retry-After with server-observed traces; share synthetic findings.
