"Information and Resources for Terraform AWS Integration" matching MCP connectors:
Matching Connector Tools:
Test-inbox API for email and SMS: create inboxes, long-poll messages, extract OTPs and links.
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
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
Rule engine with built-in simulation. 55 MCP tools for complete business rule lifecycle management.
Hire a real human for real-world verification, product testing, AI output review, and errands.
Deterministic validation for AI-generated artifacts: JSON Schema, OpenAPI response, SQL syntax.
Webhook relay for AI agents: keyless quickstart, event inspection, replay, mock payloads.
Promotion gate for AI agents: leakage audits, exact-statistics verdicts, and a live report card.
Check AI work against requirements and return structured verdicts, findings, and repair steps.
Query Checkly synthetic monitoring — checks, statuses, results, alerts, reporting and dashboards.
Voice-powered bug reporting with 13 MCP tools. Record bugs by talking; let AI find and fix them.
One-cent x402 and MCP readiness checks plus fixed-price marketplace launch packs.
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
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.
Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.
Machine-readable taxonomy of 100+ AI system failure modes spanning factuality, alignment, planning, code generation, and instruction following.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
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.