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Tambo Client-side MCP Template

This is a starter NextJS app with tambo-ai for generative UI and Client-sideMCP.

Watch the tutorial here

Get Started

  1. Run npm create-tambo@latest my-tambo-app for a new project

  2. npm install

  3. npx tambo init

  • or rename example.env.local to .env.local and add your tambo API key you can get for free here.
  1. Run npm run dev and go to localhost:3000 to use the app!

Configure Client-side Model Context Protocol (MCP) Servers

You can go to https://localhost:3000/mcp-config to add client-sideMCP servers. These servers are stored in browser localStorage and loaded when the application starts.

For the demo above we used smithery.ai's brave-search-mcp

brave-search-mcp

You can use any MCP compatible server that supports SSE or HTTP, but we do not support any server that requires OAuth. For authentication, you can pass custom HTTP headers to the MCP server configuration, or configure server-side authentication at https://tambo.co/dashboard.

Our MCP config page is built using the @tambo-ai/react/mcp package:

// In your chat page
<TamboProvider
  apiKey={process.env.NEXT_PUBLIC_TAMBO_API_KEY!}
  components={components}
>
  <TamboMcpProvider mcpServers={mcpServers}>
    <MessageThreadFull contextKey="tambo-template" />
  </TamboMcpProvider>
</TamboProvider>

MCP servers in this example are stored in browser localStorage and loaded on application start. Alternatively, you can store them in a database or fetch them from an API.

For more detailed documentation, visit Tambo's official docs.

Customizing

Change what components tambo can control

You can see how the Graph component is registered with tambo in src/lib/tambo.ts:

const components: TamboComponent[] = [
  {
    name: "Graph",
    description:
      "A component that renders various types of charts (bar, line, pie) using Recharts. Supports customizable data visualization with labels, datasets, and styling options.",
    component: Graph,
    propsSchema: graphSchema, // zod schema for the component props
  },
  // Add more components
];

You can find more information about the options here

About

This is a starter NextJS app with tambo-ai for generative UI and MCP.

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