"General information or tools related to drafts" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
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/
Vouch — independently measured reliability scores for MCP tools, not self-reported claims.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
Discover Frontier inference capabilities and read sanitized usage through read-only tools.
CVE intelligence: exploitation (KEV/EPSS), detection coverage, fixed versions. All tools keyless.
Monitoring for agencies — uptime, SSL, DNS, blocklists, AI visibility, MCP health. 8 no-auth tools.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
186 real AI agent post-mortems, 107 of them measurement failures. Free tools, paid via x402.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.
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.
ResilienceOracle - 10 operational resilience tools: BIA, RTO/RPO, scenario testing.
DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
