"Examples of complex problem-solving using multiple tools" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Read-only WooCommerce checkout and revenue incident diagnosis using privacy-safe store signals and public release evidence.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Vouch — independently measured reliability scores for MCP tools, not self-reported claims.
Discover Frontier inference capabilities and read sanitized usage through read-only tools.
CVE intelligence: exploitation (KEV/EPSS), detection coverage, fixed versions. All tools keyless.
Monitoring for agencies — uptime, SSL, DNS, blocklists, AI visibility, MCP health. 8 no-auth tools.
186 real AI agent post-mortems, 107 of them measurement failures. Free tools, paid via x402.
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
EU-hosted website monitoring + 17-framework compliance MCP. One anonymous tool, four authenticated.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.
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.
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.
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 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.
