"AWS cloud service monitoring" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
- data_previewB
AWS Cloud Service Updates & Announcements — buy per-query (awswhatsnew)
- cloud_statusA
- cloudC
- data_session_funding_packageB
AWS Cloud Service Updates & Announcements — buy per-query (awswhatsnew)
- data_session_fundA
AWS Cloud Service Updates & Announcements — buy per-query (awswhatsnew)
- data_session_queryA
AWS Cloud Service Updates & Announcements — buy per-query (awswhatsnew)
Cloud macOS with Xcode for AI agents: run commands, build, test and ship iOS apps.
API documentation drifts away from the running service, so consumers integrate against a contract nobody keeps. Routebase keeps API design, testing, mocking and documentation on one living source of truth, and this MCP server exposes that workspace to AI agents. Agents can design endpoints, write and run test suites, manage mock servers and publish documentation, always under the permissions of the connected Routebase account.
Check if a repo will deploy, plan a deploy to your own cloud, and see status, logs and redeploys.
Your Expo and EAS project in natural language: up to date SDK docs, cloud builds (status, logs, trig
Deploy applications to Cloud Run
AI agent monitoring: alerts when your agents fail, stall or need you
DevOps, SRE, and QA intelligence for Cursor — investigate bugs, assess release readiness, search logs, triage outages, diagnose failed CI, check deployments, and query connected cloud platforms. Secure remote MCP with OAuth2 and read-only QA subagents.
Deploy static and SSR websites via AI; manage Git/Docker apps, builds, logs and domains on TatNet.
- CloudPloyOAuth via extensioncom.cloudploy
Deploy an app onto a server in your own cloud account.
Direct access to Cypress tests results and accessibility reports in your AI workflow.
Disposable cloud Android emulators for coding agents: run an APK or PR build, tap, type, screenshot.
Uptime monitoring that doesn't cry wolf: manage monitors, read incidents, record deploys.
Start a NorthernGo cloud build from Cursor, Claude or Codex. EU database included.
The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.
Plan Salesforce deploys, open pull requests and trigger pipelines from your AI client.
Deploy apps on your cloud. Create environments, configure infrastructure, and monitor jobs.
Devopness MCP server for DevOps happiness! Empower AI Agents to deploy apps and infra, to any cloud.