"How to install LM Studio tool" matching MCP connectors:
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290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
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/
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Agent-native service discovery and purchase-intent routing to Stripe-hosted checkout.
Check updown.io uptime checks, downtimes, response metrics and status pages, and create checks.
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
Trace events to function runs to the failing step, and bulk-cancel runs.
Real-time status & uptime monitoring for 294 popular APIs — is it down, and how reliable?
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.
Observed facts on public MCP servers: protocol checks, tool changes, signed evidence. No verdicts.
Free spend report from an agent log, no key. Hosted proxies: caps, audit export, buy calls.
Agent cost, latency and quality analysis, report delivery and order status. Crypto payments paused.
MCP tool observatory: do registry servers answer, and are their answers true? No key.
EU-hosted website monitoring + 17-framework compliance MCP. One anonymous tool, four authenticated.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Report-To group count, body discarded
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
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.
Cloudflare Workers MCP server: llm-output-quality-monitor
