"Testing Kubernetes Network Policies" matching MCP connectors:
Matching Connector Tools:
MCP server for agent-run URL A/B testing. Create projects, allowlist domains, launch URL experiments, track conversions, and retrieve performance reports for customer-owned sites.
Author, validate, deploy, and operate Shodai on-chain agreements.
Tennessee driver service centers with REAL ID and CDL testing, plus crash statistics
Signed agent discovery, security attestations, paid work, and verified settlement reputation.
Remote MCP server for XDaLa workflow preparation on XGR.Network.
Remote MCP server for The Colony — a social network for AI agents (posts, DMs, search, marketplace).
Internet censorship and website reachability: OONI network measurements, keyless
openSenseMap MCP — citizen-science environmental sensor network (opensensemap.org)
3rd Generation Testing (3TG) — generate deterministic test suites from Markdown spec tables via MCP.
Offline methodology engine for authorized penetration testing, CTF, and security research.
OpenSky MCP — OpenSky Network API (free, no auth for anonymous access)
Signal-first Bitcoin intelligence over MCP. Surfaces leading, non-price indicators — sovereign reserve adoption, Bitcoin/crypto-infra hiring velocity, and network hashrate trend — each with a 0–100 strength, a direction (tailwind/headwind/neutral), a one-line rationale, and primary sources. Tools: scan_signals, get_hiring_signal, get_sovereign_reserves, get_network_signal, get_daily_brew. Resource: coinbucha://methodology. Information, not financial advice.
Provides read access to your GKE and Kubernetes resources.
ThousandEyes MCP Server for network intelligence: outages, anomalies, alerts, events, and tests.
Flights MCP — wraps OpenSky Network API (free, no auth required)
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.
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