"Allow WAR File Commands on Cisco OS" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Uptime monitoring, status pages and on-call in one place. Create and tune monitors for HTTP, TCP, DNS, ping, TLS certificates, domain expiry, heartbeats and scripted browser logins. Run a check on demand, read uptime and response-time history, acknowledge and resolve incidents, post incident updates, schedule maintenance windows and edit public status pages. Read-only until you grant write access.
Where apps write their log files on Windows, macOS and Linux, as exact copyable paths.
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.
Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Read-only watchtower for AI agents on-chain: decoded receipts, plan vs execution, Safe audits.
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.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
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.
DORA OS EventFabric - 14-tool event stream for DORA compliance signals and pub/sub fabric.
DORA OS Conductor — 16-tool meta-orchestrator for DORA compliance workflow automation.
