Deploy Containers to Production Using MCP.
Code pushed, images built, tags verified, deploys triggered, status reported , ship containers from commit to production in one prompt
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent reads GitHub: 3 PRs merged today. PR #201 'feat(api): add batch processing endpoint' in the backend repo.
PR #202 'fix(ui): cart total display' in the frontend repo. PR #203 'chore(infra): update nginx config' in the infra repo.
The agent checks Docker Hub for the backend image: `acme/api-server:v2.14.3` , built 12 minutes after the PR merge, image size 245MB, architecture linux/amd64.
The previous tag was `v2.14.2` at 238MB , a 7MB increase, which is reasonable for a new endpoint. For the frontend, the agent triggers a Netlify build and monitors: build started, completed in 2m 34s, deployed to production.
For the infra repo, the agent checks Docker Hub for the nginx image: `acme/nginx:v1.8.0` , built and tagged correctly. Pipeline status: 'All 3 PRs have corresponding artifacts.
Backend image: built. Frontend: deployed. Infra: tagged. Full stack deployment complete.'
Connector Orchestration: 3 Connectors, one intelligent agent
Connect GitHub, Docker Hub and Netlify Connectors so your AI agent reads the latest merged PRs, verifies the corresponding Docker images were built and tagged, checks image metadata for vulnerabilities, triggers a Netlify deploy for the frontend layer, and reports the full deployment pipeline status. Full-stack teams shipping containerized backends with Netlify frontends get end-to-end deployment visibility. No switching between GitHub, Docker Hub and Netlify dashboards. One prompt and you know if your entire stack shipped.
Github
triggerReads merged PRs and commit hashes for deployment tracking
list_pull_requests get_repository_details get_file_contents list_repo_issues Docker Hub
actionVerifies image builds, tags and repository metadata
get_repository list_tags get_tag search_repositories Netlify
actionTriggers frontend deploys and monitors build status
trigger_build list_deploys get_deploy get_site Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own Connector
Convert any internal API into a Connector. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Github, Docker Hub & Netlify ready in the catalog right now
- Add more from 5,800+ servers whenever you need
- Connections are secured and compliant by default
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added weekly
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across all platforms.
Contextual Reasoning
Each decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your Connectors once, and your agent handles the rest. Each time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.
Full-stack teams with containerized backends on Docker and frontends on Netlify who need end-to-end deployment verification
DevOps engineers who want automated Docker image validation , size checks, tag verification and architecture validation , after every merge
Small teams without CI/CD dashboards who need a single-prompt deployment status across GitHub, Docker Hub and Netlify
Engineering managers who need proof that every merged PR produced a corresponding deployment artifact
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need for this workflow?
Three: GitHub, Docker Hub and Netlify. Connect all three to your AI client.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others.
Can I use Vercel instead of Netlify?
Yes. Replace the Netlify Connector with the Vercel Connector. The agent triggers deployments and monitors build status the same way.
Does it check for Docker image vulnerabilities?
The agent checks image metadata and size anomalies. For full vulnerability scanning, pair this with a dedicated security scanner MCP.
What if a Docker image is missing after a PR merge?
The agent flags it: 'PR #201 merged at 14:42 but no Docker Hub tag found for acme/api-server after v2.14.2.' This typically means the CI pipeline failed.
Can I use GitHub Container Registry instead of Docker Hub?
The Docker Hub Connector is specific to Docker Hub. For GHCR, you can use the GitHub MCP to check package versions through the repository.
Extract Architecture Principles Using MCP
Code patterns formalized, universal laws derived, causal forces identified , replace ad-hoc architecture with mathematical proof
Find Codebase Duplications Using Connectors
Your codebase has 4 different implementations of date formatting, 3 versions of the retry logic, and 2 competing validation libraries , but nobody knows because grep only finds exact matches and these duplicates are semantic
Generate Error Postmortems Automatically via MCP
Errors captured, stack traces analyzed, root cause commits identified, postmortem docs generated , write incident reports without the pain
How Connectors Auto-Triage Bug Reports
New bugs detected, severity classified, sprint tickets created, team notified , triage your backlog without a standup
MCP Recipe for Code Review Time Analytics
Review bottlenecks detected, unreviewed PRs surfaced, reviewer workload balanced, team velocity measured , fix your code review process with data
MCP Recipe for Faster Incident Response
Endpoints monitored, failures detected, incidents auto-created, root cause traced to the commit , respond to outages before users tweet
Connectors used in this workflow
GitHub
GitHub MCP lets you manage your entire software development lifecycle through a chat interface. You can check the status of a pull request, list open issues, or search for specific code snippets without ever leaving your primary workspace. It gives your AI agent direct access to your repositories, making it easier to audit codebases or update project statuses on the fly.
Docker Hub
Docker Hub lets you manage your container images through your agent. You can list repositories, browse specific tags, create new hosts, and search the community registry for the right base images. It handles the heavy lifting of navigating the Docker Hub website, letting you focus on deployment and configuration.
Netlify
Netlify MCP lets you manage your web hosting and deployment workflows directly from your AI agent. You can list projects, trigger builds, check deployment statuses, and pull form submissions without leaving your workspace. It's the fastest way to handle your edge-native site management through natural conversation, allowing you to monitor site health and manage DNS records without opening extra tabs.