Using Kanzi AI tools

Kanzi provides AI tools that you can connect to AI assistants, such as Claude Desktop, VS Code, Claude Code, and GitHub Copilot. These tools give AI assistants access to Kanzi documentation and API references, which helps you get accurate and grounded answers to your Kanzi questions.

Kanzi AI tools are built on the Model Context Protocol (MCP), an open standard for connecting AI assistants to external tools and data sources. After you connect a Kanzi MCP server to your AI assistant, the assistant can use the tools that the server provides to look up Kanzi information and answer your questions.

Available MCP servers:

  • Kanzi documentation MCP server connects your AI assistant to the Kanzi documentation. Use it to get answers about Kanzi concepts, features, workflows, and best practices.

  • Kanzi API MCP server connects your AI assistant to the Kanzi API reference. Use it to look up API signatures, check deprecation status, find include directives, and compare APIs between Kanzi versions.

Tip

On the Documentation website, you can use the AI assistant next to each topic title to set up the Kanzi Documentation MCP server in Claude Desktop and VS Code.

Tips for working with Kanzi AI tools

  • Be specific in your questions. For example, instead of asking “How do bindings work?”, ask “How do I create a binding in Kanzi Studio that changes the color of a node based on a data source value?”.

  • When asking about API use, mention the programming language and Kanzi version that you are using.

  • You can ask for verification of API signatures, check for deprecations, and suggest replacements for deprecated APIs.

  • When migrating between Kanzi versions, use the Kanzi API MCP server with your AI assistant to compare APIs between versions. This helps you identify what changed and estimate the migration effort.