How to Use the Flightcontrol (AWS PaaS Deployments) MCP in Claude Code

Q: How do I add Flightcontrol (AWS PaaS Deployments) to Claude Code?

Run the command claude mcp add --transport http flightcontrol-aws -- in your terminal. This registers the MCP Server in your local configuration file so you can manage your AWS infrastructure immediately.

Q: Can I manage environment variables in Claude Code using Flightcontrol (AWS PaaS Deployments)?

Yes, the agent uses createenvironmentvariables to write configurations to your environments. You can pass keys directly through the terminal chat, and Claude Code updates your AWS settings securely.

Q: How does Claude Code handle CloudFront invalidations via Flightcontrol (AWS PaaS Deployments)?

The agent executes createcloudfrontinvalidation to clear the edge cache. You can verify the status of the purge using getcloudfrontinvalidationstatus directly in your terminal window.

Q: Can I spin up preview environments from my git branches?

Yes, the agent calls createenvironment using your branch name to create isolated preview environments. This allows you to test pull requests on real AWS hardware before merging.

Trigger AWS deployments and scale services directly from your terminal using Claude Code and this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Flightcontrol (AWS PaaS Deployments) MCP to Claude Code

Create your Vinkius account to connect Flightcontrol (AWS PaaS Deployments) to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Flightcontrol (AWS PaaS Deployments) with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Command AWS PaaS deployments from your terminal

The `create_deployment` tool starts AWS builds directly from your command-line interface. Claude Code runs this tool inside your shell session, letting you deploy code without opening a web browser. You can pipe the output of `get_deployment_status` into other terminal utilities. This makes it easy to integrate your agentic workflows into existing shell scripts and terminal pipelines.

Automate service scaling via CLI MCP Server

The `update_service_scaling` tool modifies your container counts and resource allocations straight from the terminal. Claude Code reads your current resource usage and applies scaling updates instantly. The agent uses `get_service_scaling` to check existing limits before making changes. This prevents accidental over-provisioning and keeps your AWS spend under control.

Run one-off tasks and database migrations

The `create_job_execution` tool triggers scheduled tasks and database migrations on your AWS cluster. Claude Code runs these tasks on demand, monitoring their execution state from start to finish. The agent tracks the progress using `get_job_execution_status`. You get direct terminal updates on the exit codes and run times of your background jobs.

Setup guide

Set up Flightcontrol (AWS PaaS Deployments) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see flightcontrol-aws-paas-deployments-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Flightcontrol (AWS PaaS Deployments) transactions." It will automatically discover and invoke the available Flightcontrol (AWS PaaS Deployments) tools.

Terminal

claude mcp add --transport http flightcontrol-aws-paas-deployments-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Flightcontrol (AWS PaaS Deployments) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "flightcontrol-aws-paas-deployments-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flightcontrol. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Flightcontrol (AWS PaaS Deployments) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Flightcontrol (AWS PaaS Deployments) MCP in Claude Code

Run the command `claude mcp add --transport http flightcontrol-aws -- ` in your terminal. This registers the MCP Server in your local configuration file so you can manage your AWS infrastructure immediately.

Yes, the agent uses `create_environment_variables` to write configurations to your environments. You can pass keys directly through the terminal chat, and Claude Code updates your AWS settings securely.

The agent executes `create_cloudfront_invalidation` to clear the edge cache. You can verify the status of the purge using `get_cloudfront_invalidation_status` directly in your terminal window.

Yes, the agent calls `create_environment` using your branch name to create isolated preview environments. This allows you to test pull requests on real AWS hardware before merging.

All environment configurations and variables are transmitted through encrypted HTTPS channels directly to Flightcontrol. The server runs in a zero-trust sandbox, meaning no sensitive environment data is stored locally in your CLI shell history.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript