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290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Uptime monitoring, status pages and on-call in one place. Create and tune monitors for HTTP, TCP, DNS, ping, TLS certificates, domain expiry, heartbeats and scripted browser logins. Run a check on demand, read uptime and response-time history, acknowledge and resolve incidents, post incident updates, schedule maintenance windows and edit public status pages. Read-only until you grant write access.
Where apps write their log files on Windows, macOS and Linux, as exact copyable paths.
Send and receive webhooks without building delivery queues or customer webhook controls. Relin lets your software and AI assistants set up inbound handlers, manage outbound events and customer endpoints, inspect delivery health, and retry failed deliveries. A generous free plan is available; no paid subscription is required.
Uptime monitoring: monitors, incidents, alerts, maintenance, on-call, status pages and telemetry.
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/
Free-trial AI fleet spend meter. Quote agent fleet spend from token usage. 100 calls or 14 days. No auth. Official MCP Registry: io.github.mtardy90-sudo/bootlace-ai-spendmap.
Website traffic, human vs bot split, realtime visitors, breakdowns and site health for your DevDome sites. Hosted remote MCP server (streamable HTTP), authenticated with a DevDome API key.
Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Agent-native service discovery and purchase-intent routing to Stripe-hosted checkout.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Check updown.io uptime checks, downtimes, response metrics and status pages, and create checks.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Trace events to function runs to the failing step, and bulk-cancel runs.
Psyche audits for AI agents: declared vs self-reported vs revealed objectives, diffed and flagged.
Read-only watchtower for AI agents on-chain: decoded receipts, plan vs execution, Safe audits.