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JTL provides a Model Context Protocol (MCP) server that gives AI tools direct access to the full developer documentation. Once connected, your tool can answer platform questions, generate code, and reference current behaviour for any JTL product.

Connect to your AI Tool

Choose your AI coding tool below and follow the setup instructions.
Add the JTL docs MCP server with a single command:
Restart Claude Code, then run /mcp. You’ll see jtl-docs · ✔ connected as part of the MCP servers.
You can also connect directly from any page in these docs. Click the contextual menu (top of any page) and select Connect to Cursor or Connect to VS Code to add the MCP server with one click.

Other Ways to Use the Docs

These options work without any setup and are useful for one-off questions or tools that don’t support MCP. Copy as Markdown. On any page, press Cmd+C / Ctrl+C or select Copy from the contextual menu to copy the page content as Markdown. Paste it directly into ChatGPT, Claude, or any other AI tool. Claude and ChatGPT links. Select Open in Claude or Open in ChatGPT from the contextual menu on any page. This opens the AI tool with the page content pre-loaded. llms.txt. The docs site hosts an llms.txt file listing every page with a short description. AI crawlers use it to index the documentation, and you can fetch it directly to give a tool an overview of what is available.

Tips for Better Results

These apply regardless of which product you build against. Name the product. “How do I authenticate?” is ambiguous across products with different authentication models. “How do I authenticate a Cloud App backend?” retrieves the right page. Be specific about what you’re building. “Help me build a JTL Cloud App” is vague. “Create a panel app that shows customer order history in the customer sidebar” gives the tool enough context to generate accurate code. Reference JTL concepts by name. Use the vocabulary listed for your product above. The tool maps these terms to the correct documentation pages. Ask follow-up questions. After the tool generates code, ask “Does this follow the recommended AppBridge initialization pattern?” and it will check its answer against the docs. Combine with the quickstarts. Start with From Template or From Scratch to get a running app, then use AI to extend it.

What’s Next

Quickstart: From Template

Clone the sample app and get a running Cloud App in 15 minutes.

Quickstart: From Scratch

Build a Cloud App step by step with React and your favourite backend (Node.js, C#, or PHP).

Marketplace Channels

Connect a marketplace to JTL-Wawi through SCX.

Vouchers API

Issue and manage vouchers through the Vouchers API.