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@ -86,6 +86,7 @@
"pages": [
"publishing/guides/existing-mcp-server",
"publishing/guides/existing-openapi-service",
"publishing/guides/ts-modelfetch",
"publishing/guides/ts-fastmcp",
"publishing/guides/ts-mcp-hono",
"publishing/guides/ts-openapi-hono",

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---
title: TypeScript ModelFetch
description: This guide will show you how to publish an MCP server to Agentic using ModelFetch.
---
[ModelFetch](https://www.modelfetch.com) is a TypeScript/JavaScript SDK designed for building and deploying MCP servers across multiple runtime environments.
## 1. Create a ModelFetch MCP server
<Info>
**Prerequisite**: Please install [Node.js](https://nodejs.org) before
proceeding.
</Info>
```bash
npx -y create-modelfetch@latest
```
Follow the interactive prompts to:
1. **Choosing a runtime** - Node.js, Bun, Deno, Cloudflare Workers, or Vercel Functions
2. **Selecting a language** - TypeScript or JavaScript
3. **Picking a package manager** - npm, pnpm, bun, or yarn
Then navigate to your project:
```bash
cd my-mcp-server
```
## 2. Implement your MCP server
Edit the server file to add your MCP tools, resources, and prompts:
```ts server.ts
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'
import { z } from 'zod'
const server = new McpServer({
title: 'My MCP Server',
name: 'my-mcp-server',
version: '1.0.0',
})
server.registerTool(
'add',
{
title: 'Add Numbers',
description: 'Add two numbers together',
inputSchema: {
a: z.number(),
b: z.number(),
},
},
({ a, b }) => ({
content: [{
type: 'text',
text: `${a} + ${b} = ${a + b}`,
}],
})
)
export default server
```
<Note>
[ModelFetch](https://www.modelfetch.com) uses the [official MCP TypeScript SDK](https://github.com/modelcontextprotocol/typescript-sdk) and provides runtime-specific handlers for different platforms.
</Note>
## 3. Deploy your MCP server remotely
ModelFetch supports multiple deployment targets. Deploy your server to any platforms that support these runtimes:
- [Node.js](https://www.modelfetch.com/docs/runtimes/node)
- [Bun](https://www.modelfetch.com/docs/runtimes/bun)
- [Deno](https://www.modelfetch.com/docs/runtimes/deno)
- [Cloudflare](https://www.modelfetch.com/docs/runtimes/cloudflare)
- [Vercel](https://www.modelfetch.com/docs/runtimes/vercel)
<Warning>
For development, you can use [ngrok](https://ngrok.com) to temporarily expose your local server. Only
use this in a safe environment as it exposes your server to the internet.
</Warning>
## 4. Deploy your origin MCP server to Agentic
Now that you have a publicly available MCP server, you can follow the [existing MCP server guide](/publishing/guides/existing-mcp-server) to deploy it to Agentic.

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@ -28,6 +28,14 @@ description: Deploy your first MCP product to Agentic in minutes.
<Tabs>
<Tab title="TypeScript">
<Columns cols={2}>
<Card
title='TS ModelFetch'
href='/publishing/guides/ts-modelfetch'
icon='cube-transparent'
>
Create a new MCP server and deploy it to Agentic using ModelFetch SDK.
</Card>
<Card
title='TS FastMCP Server'
href='/publishing/guides/ts-fastmcp'