"Servers related to the MCP-SuperAssistant browser extension" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Read browser bug recordings: video, console, network, steps. Fix the bug and comment back.
Meter, cap, and block AI agent spend before the provider is charged.
Uptime, SSL, domain, and Core Web Vitals monitoring for websites and APIs. List, create, update, and pause monitors; read incident history with AI-generated diagnosis; pull Lighthouse and CrUX page speed data. OAuth 2.0 with dynamic client registration — works out of the box with Claude Desktop connectors. Free plan: 20 monitors, read-only MCP.
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/
Oviond brings data from 100+ marketing platforms into one reporting platform. Through the Oviond MCP server, AI assistants can securely access and work with Oviond clients, projects, reports, dashboards, widgets, and marketing data. Ask questions about your reporting data, analyze marketing performance, and manage reporting workflows directly through your AI assistant.
Hear it from nimo, not your customers. Monitoring that tells you the fix, not just the alert: uptime, Core Web Vitals, cron check-ins, plus Journey Watch for your signup and checkout flows. Free one-off checks, no account needed.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Matches sanitized business needs to fixed-price services and routes authorized agents to purchase.
Investigate security events and manage the allow/deny lists an analyst acts on.
Trace events to function runs to the failing step, and bulk-cancel runs.
Verifies Bernstein run receipts and hash chains; lists the shipped presets and adapters. Read-only.
Cookieless web analytics your coding agent reads: traffic answers, deploy impact, what broke. One connection covers every site on the account.
Monitoring for the agent economy — liveness, latency, trust scoring for MCP endpoints
Report-To group count, body discarded
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
Gain visibility into the performance, availability, and health of your apps and infrastructure.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
