docs: update ModelFetch documentation with latest capabilities

Updated the ModelFetch guide to reflect the platform's evolution:
- Updated description to emphasize multi-runtime support without vendor lock-in
- Expanded supported runtimes list from 5 to 12+ platforms
- Added support for Next.js, Netlify, Fastly, Supabase, Gcore, AWS Lambda, Azure Functions
- Simplified deployment section with link to ModelFetch docs for detailed guides

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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phuctm97 2025-08-11 13:04:31 +07:00
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@ -3,7 +3,7 @@ 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.
[ModelFetch](https://www.modelfetch.com) is a delightful TypeScript/JavaScript SDK for building and deploying MCP servers anywhere TypeScript/JavaScript runs - Write your MCP server once and run it anywhere without vendor lock-in.
## 1. Create a ModelFetch MCP server
@ -18,9 +18,9 @@ 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
1. **Choose a runtime** - Node.js, Next.js, Bun, Deno, Vercel, Cloudflare, Netlify, Fastly, Supabase, Gcore, AWS Lambda, or Azure Functions
2. **Select a language** - TypeScript or JavaScript
3. **Pick a package manager** - npm, pnpm, bun, or yarn
Then navigate to your project:
@ -75,11 +75,21 @@ export default server
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)
- Node.js
- Next.js
- Bun
- Deno
- Vercel
- Cloudflare
- Netlify
- Fastly
- Supabase
- Gcore
- AWS Lambda
- Azure Functions
- etc.
See the [ModelFetch documentation](https://www.modelfetch.com/docs) for more details.
<Warning>
For development, you can use [ngrok](https://ngrok.com) to temporarily expose