Your agent.
The same tenvell.
Documentation, components and working examples for your AI editor. Give your agent a starting point and build the interface together.
Start with a prompt
Paste this into your editor's chat. Your agent can read the documentation map, check the API and add the components it needs.
Read https://tenvell.space/llms.txt. Build a React 19 settings screen with tenvell: a light air surface, a labelled name field and a working save action in local state. Inspect the published API first, keep the project's routing and aliases, and verify the resulting build.Add the skill
Keep the integration workflow in a compatible agent. The skill lives in the repository; you can read the entire file before installing it.
npx skills add raven-ai-esh/tenvell --skill tenvell-uiConnect the registry to MCP
The official shadcn MCP can search and install tenvell components. Add the namespace to your project's components.json and configure the server in your editor.
Set up shadcn MCP{
"registries": {
"@tenvell": "https://tenvell.space/r/{name}.json"
}
}Once connected, ask your agent to find components in @tenvell. To install without MCP:
npx shadcn@4.23.0 add https://tenvell.space/r/tenvell.jsonPlain text. Exact APIs.
Every file opens directly, without JavaScript or authentication. The API reference comes from the published package.
A short documentation map for the first request.
llms-full.txt/llms-full.txtThe complete reference in a single text file.
Installation/docs/install.mdPackage archive, editable shadcn source and a starter project.
API and settings/docs/api.mdExact exports and types from the published package.
Registry and MCP/docs/registry.mdComponents, import paths and @tenvell configuration.
Working examples/docs/recipes.mdA settings form, dialog and chart with local state.
components.json/docs/components.jsonA machine-readable list of exports and registry items.
AGENTS.md/AGENTS.mdThe integration workflow and the library's scope.