How to Use the Handlebars Template Compiler MCP in Vercel AI SDK
Render clean HTML templates live in your Vercel AI SDK stream without letting LLMs break the syntax.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Handlebars Template Compiler MCP to Vercel AI SDK
Create your Vinkius account to connect Handlebars Template Compiler to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Stop broken HTML streams in Vercel AI SDK
LLMs are terrible at raw string replacement. When you stream UI components, a single missing bracket ruins the layout. This MCP Server lets your agent delegate the compilation to a real engine. By calling `compile_template` directly inside your Next.js edge route, the server outputs safe, compiled HTML. Your users see the final rendered email or card instantly, without the typical streaming glitches.
Fast edge compilation for real-time UI
Heavy rendering libraries slow down edge functions. This tool offloads the template processing entirely, keeping your Vercel AI SDK setup lightweight and fast. Pass your layout string and JSON context to `compile_template`. The server spits back clean markup that fits right into your React or Svelte frontend components.
Strict schema safety for dynamic components
Letting an LLM write raw HTML is a security risk. This MCP setup forces the model to work with structured JSON data instead of writing code directly. The `compile_template` tool acts as a sandbox. Your agent supplies the raw data, the compiler handles the loops, and your Vercel AI SDK app gets clean, sanitized results.
Set up Handlebars Template Compiler MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Handlebars Template Compiler tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Handlebars Template Compiler transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Handlebars.js. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Handlebars Template Compiler MCP in Vercel AI SDK
Use it with your favorite AI tools
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