"Connecting Linear.app to manage software development tasks and structure" matching MCP connectors:

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

Test-inbox API for email and SMS: create inboxes, long-poll messages, extract OTPs and links.

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.

Read-only, deterministic AI triage and readiness tools implementing Sophon's published rubrics.

Deterministic coordination, safe fixtures, and compatibility intelligence for autonomous agents.

PDF accessibility checks (veraPDF PDF/UA-1), auto-fix and Markdown conversion. EU-hosted.

Hire a real human for real-world verification, product testing, AI output review, and errands.

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

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

Promotion gate for AI agents: leakage audits, exact-statistics verdicts, and a live report card.

Query Checkly synthetic monitoring — checks, statuses, results, alerts, reporting and dashboards.

One-cent x402 and MCP readiness checks plus fixed-price marketplace launch packs.

Generate deterministic placeholder image URLs and packs for docs, staging, testing, and AI agents.

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

Machine-readable taxonomy of 100+ AI system failure modes spanning factuality, alignment, planning, code generation, and instruction following.

Scan URLs for WCAG 2.1 violations, generate AI fixes, and produce VPAT 2.5 compliance reports.

MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.

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

Read-only verifier for 25 ProofRelay MCP tools and non-confidential evidence bundles.