Cloud Infrastructure MCP: Provision Supabase, Stripe & Railway from Claude Code

Cloud infrastructure provisioning has traditionally meant context-switching between your code editor and provider dashboards. Creating a Supabase project, setting up Stripe billing, or deploying to Railway each requires its own portal, its own authentication flow, and its own CLI.

Cloud infrastructure MCP changes this entirely. By connecting an MCP infrastructure tool to your AI editor, you can provision cloud resources using natural language — no dashboards required.

What Is Cloud Infrastructure MCP?

MCP (Model Context Protocol) is an open standard that gives AI models access to external tools and APIs. When applied to cloud infrastructure, MCP allows your AI editor — Claude Code, Cursor, or Windsurf — to call provider APIs directly. An MCP cloud provisioning setup means your editor handles everything from authentication to resource creation.

Conjra is an MCP infrastructure tool purpose-built for this. It registers as an MCP server in your editor and exposes tools for 18+ cloud providers.

Setting Up Cloud Infrastructure MCP with Claude Code

npm install -g conjra
conjra init --ai claude
conjra add supabase
conjra add stripe
conjra add railway

That's it. Conjra registers its MCP server with Claude Code and stores your credentials in an encrypted local vault. Now Claude can provision infrastructure on your behalf.

Real Examples of Cloud Infrastructure MCP

Provision a Supabase project:

"Use conjra to create a Supabase project called my-app and run the initial migration"

Create a Stripe product with pricing:

"Use conjra to create a Stripe product called Pro Plan at $29/month"

Deploy to Railway:

"Use conjra to deploy this project to Railway"

Why Cloud Infrastructure MCP Matters

The traditional approach to infrastructure requires mastering multiple CLIs, navigating dashboards, and managing credentials across services. Cloud infrastructure MCP consolidates all of this into a single natural-language interface inside your editor.

For solo builders and indie hackers, this means shipping full-stack applications faster. For teams, it means infrastructure setup is reproducible and auditable. And because Conjra calls provider APIs directly — with no middleware — there's no third-party risk.

MCP infrastructure tooling is still emerging, which makes now the ideal time to adopt it. As more editors adopt MCP, the workflows you build today will work everywhere.

Install Conjra and start provisioning cloud infrastructure from your AI editor.