"How to Create Projects in Jira" matching MCP connectors:
Matching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
Read status-page status, services, incidents and metrics; create, update and publish incidents.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
Manage Cronitor monitors and send telemetry pings — list, inspect, create, update, delete.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Manage EchoRelay relay projects from any MCP client: lines, endpoints, keys, billing, logs, DLQ.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
Cloudflare Radar MCP — internet observatory (traffic, attacks, BGP, quality)
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
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.
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.
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.
An MCP server giving access to Grafana dashboards, data and more.