"A search related to the concept of thinking" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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/
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.
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Monitoring for the agent economy — liveness, latency, trust scoring for MCP endpoints
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Cookieless web analytics your coding agent reads: traffic answers, deploy impact, what broke. One connection covers every site on the account.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
Dead-man switch for cron and webhooks: ingest URL, miss detection, alerts and a status feed.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
