"dev.to" matching MCP connectors:

Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.

Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/

Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.

Monitor uptime and incidents, run checks, and publish status updates from your Uptimepage org.

Free uptime monitoring: HTTP/TCP/TLS/DNS checks, cron heartbeats, status pages, incident tools.

Discover, compare, and monitor 1,400+ APIs directly from your AI coding agent.

Uptime watchdog and dead man switch for AI agents and cron jobs. Alerts you when a job goes silent.

Check an MCP endpoint resolves: liveness, live tool list, schema drift. Free.

Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.

Pay-per-call live telemetry, environmental metrics, transit state vectors, blockchain reads, network/security lookups and real-time utilities for AI agents using x402 and MCP.

Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.

Trending/new/changed MCP servers: a liveness-probed freshness index + x402-paid change-data API

AWS cloud security scanners for AI agents — S3, IAM, EC2, EKS, RDS, CloudTrail, CloudWatch Logs

Synplex provides inventory health scoring, landed cost calculation, and quick inventory diagnosis tools for Shopify merchants. It enables AI assistants to assess stock performance, calculate true product costs including duties and shipping, and instantly surface inventory issues.

Read-only analytics for Convex apps, queryable via MCP from Claude, Cursor, and other clients.

Security intelligence via x402 on Base. CVE lookup, IP reputation, secret scanning.

Monitoring that agents set up for themselves — cron jobs, CI/CD pipelines and AI agent runs.

Set up uptime monitoring from your editor: create checks, configure alerts, query uptime history.

Vet any MCP server before you depend on it: live health from GitHub, npm and PyPI.

Monitoring for small teams. Logs, traces, metrics, live issue tracking, API/MCP uptime.