"Examples of complex problem-solving using multiple tools" matching MCP connectors:

Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.

Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.

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

Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.

EU-hosted website monitoring + 17-framework compliance MCP. One anonymous tool, four authenticated.

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.

Gain visibility into the performance, availability, and health of your apps and infrastructure.

ResilienceOracle - 10 operational resilience tools: BIA, RTO/RPO, scenario testing.

DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.

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

Agent-operated web + product analytics. 79 tools + 14 prompts; answers provably match the dashboard.

Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.

Capture, inspect & debug HTTPS traffic across iOS, Android, browsers & backends — 304 MCP tools.

Live status, API pricing and rate limits for ChatGPT, Claude, Gemini, Cursor and 42+ AI tools.

Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.

Agent-native uptime monitoring. Create, inspect, and assert monitor health. Free 50-monitor tier.

Read-only MCP access to a documented IT fleet: state, changes, posture. 15 tools.

MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.