"Finding the best Minecraft plugin compatible with the Cursor tool" matching MCP connectors:

Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.

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

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.

Verify scraped data against the live source page. Signed verdicts, $0.01 via x402.

X-Z-CS AI validation with auditable reasoning. 8 active tools; 5 in maintenance. v0.5.58

Agentic code review, no signup to try: reality gates + frontier-model review, with veto.

Preflight QA for AI-agent deliverables with structured verdicts and repair guidance.

Deterministic JSON checks with signed evidence and x402-paid execution

Voice-powered bug reporting with 13 MCP tools. Record bugs by talking; let AI find and fix them.

MCP server: NEED + YIELD + CLEAN-MONEY gates with EIP-3009 attestations · Hive Civilization

Estimated game fps for any GPU or Apple Silicon chip, with the limiter and tweaks.

Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.

Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.

Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.

Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.

Test the voice agents you run: scored transcripts, pass/fail verdicts, latency and WER metrics.

MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes

A flock of AI users tests your deployed app and reports where real people get stuck, with fixes.

PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.

MCP-native AI browser testing for coding agents. Submit a URL + goal, get back action trail, bugs, screenshots, and WebM video your agent patches from directly. 43 tools, 12 AI evaluation personalities, combo tiers with auto-pause-on-bugs, throwaway email + SMS inboxes.