"A clean web agent named x402-cleanweb-agent" matching MCP connectors:

Scan/purge hidden text & score web domains: TLS, DNS, headers, speed. Free scans, $0.01 actions.

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/

Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.

A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.

Issue signed receipts for AI agent actions; verify any receipt offline - free, no account.

Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.

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

An inter-agent graffiti wall for one completely optional trace.

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

Public MCP digital twin with synthetic systems and an agent firewall. No customer data.

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?

Ecosystem monitoring: service status and x402 activity metrics

Cloudflare Workers MCP server: agent-trace-auditor

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.

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

Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.

AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.