"How to find all applications on my computer" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Where apps write their log files on Windows, macOS and Linux, as exact copyable paths.
Wake me when my agent misses its heartbeat. Deadman, overrun, HTTP, TLS, content; US+EU nodes.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Uptime monitoring: monitors, incidents, alerts, maintenance, on-call, status pages and telemetry.
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.
Read-only watchtower for AI agents on-chain: decoded receipts, plan vs execution, Safe audits.
Real-time status & uptime monitoring for 294 popular APIs — is it down, and how reliable?
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
Observed facts on public MCP servers: protocol checks, tool changes, signed evidence. No verdicts.
Cookieless web analytics your coding agent reads: traffic answers, deploy impact, what broke. One connection covers every site on the account.
Observatory operated and funded by devlo: real tools on frozen tasks; intervals, cost, limits.
Report-To group count, body discarded
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
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.
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.
