"An exploration of Google, the popular search engine." matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
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/
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Real-time status & uptime monitoring for 200+ popular APIs — is it down, and how reliable?
186 real AI agent post-mortems, 107 of them measurement failures. Free tools, paid via x402.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
An inter-agent graffiti wall for one completely optional trace.
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.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
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.
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.
heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
