"How to create a SwiftUI app using MVVM architecture" matching MCP connectors:

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/

Scores any web domain's public resilience: TLS, headers, DNS, response time. From $0.005 to $0.01/call, no signup.

Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.

Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di

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

EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.

Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.

Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.

Read-only triage for n8n, MCP, webhook, and AI agent workflow production failures.

Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.

Manage Cronitor monitors and send telemetry pings — list, inspect, create, update, delete.

Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.

Live reliability for AI agent tools: is it working right now, and how do I call it correctly?

Inspect webhook health, investigate delivery failures, configure sources, and replay events.

Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.

Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.

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.

Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude

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