"Making API documentation usable for LLMs" matching MCP connectors:
Matching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Live censorship signals, evidence-bounded machine analysis, and tamper-evident AI model evals.
Website QA for your coding agent: audit SEO, performance, security, accessibility over MCP.
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.
SupplyMaven supply chain risk management data including manufacturing, port and airport congestion, border, materials and macro indexes
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Anomaly detection API powered by physics simulation. Scan any data for outliers.
CVE intelligence: exploitation (KEV/EPSS), detection coverage, fixed versions. All tools keyless.
Usage metering + SLA accounting for agent services (the meter behind x402 micropayments).
Continuous website testing by Validoria — monitor security, SEO, performance, and accessibility.
Compute-is-carbon energy/carbon ledger for agent work with Landauer-limit validation.
Reproducible benchmarks and reliability evidence for agent tools.
Monitoring for agencies — uptime, SSL, DNS, blocklists, AI visibility, MCP health. 8 no-auth tools.
Uptime watchdog and dead man switch for AI agents and cron jobs. Alerts you when a job goes silent.
Query analyzed WebRTC sessions: observations, deductions, experience scores, and AI summaries.
Peppol market intelligence and network monitoring: migrations, provider churn, leads, and uptime.
Check real-time uptime and incident status for 285 APIs and cloud services.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?