"Hosting Supabase on Your Own Server" matching MCP connectors:
Matching Connector Tools:
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Vantaj uptime monitoring via MCP - manage monitors, heartbeats, incidents, and status pages.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
Cloudflare Workers MCP server: agent-trace-auditor
Cloudflare Workers MCP server: llm-output-quality-monitor
ThousandEyes MCP Server for network intelligence: outages, anomalies, alerts, events, and tests.
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.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.
Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.