mirror
/
chatgpt-api
kopia lustrzana https://github.com/transitive-bullshit/chatgpt-api
1
0
Forkuj 0
Kod Zgłoszenia Packages Projekty Wydania Wiki Aktywność

Merge pull request #725 from phuctm97/update-modelfetch-docs

main
Travis Fischer 2025-08-11 01:26:09 -05:00 zatwierdzone przez GitHub
rodzic 3f5faf2a9b 253db054fa
commit 9f0c7820cc
Nie znaleziono w bazie danych klucza dla tego podpisu
ID klucza GPG: B5690EEEBB952194
1 zmienionych plików z 19 dodań i 9 usunięć
Pokaż statystyki Ściągnij plik aktualizacji Ściągnij plik porównania Expand all files Collapse all files

28
docs/publishing/guides/ts-modelfetch.mdx
Wyświetl plik

@ -3,7 +3,7 @@ title: TypeScript ModelFetch
description: This guide will show you how to publish an MCP server to Agentic using 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 ## 1. Create a ModelFetch MCP server
@ -18,9 +18,9 @@ npx -y create-modelfetch@latest
Follow the interactive prompts to: Follow the interactive prompts to:
1. **Choosing a runtime** - Node.js, Bun, Deno, Cloudflare Workers, or Vercel Functions 1. **Choose a runtime** - Node.js, Next.js, Bun, Deno, Vercel, Cloudflare, Netlify, Fastly, Supabase, Gcore, AWS Lambda, or Azure Functions
2. **Selecting a language** - TypeScript or JavaScript 2. **Select a language** - TypeScript or JavaScript
3. **Picking a package manager** - npm, pnpm, bun, or yarn 3. **Pick a package manager** - npm, pnpm, bun, or yarn
Then navigate to your project: 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: ModelFetch supports multiple deployment targets. Deploy your server to any platforms that support these runtimes:
- [Node.js](https://www.modelfetch.com/docs/runtimes/node) - Node.js
- [Bun](https://www.modelfetch.com/docs/runtimes/bun) - Next.js
- [Deno](https://www.modelfetch.com/docs/runtimes/deno) - Bun
- [Cloudflare](https://www.modelfetch.com/docs/runtimes/cloudflare) - Deno
- [Vercel](https://www.modelfetch.com/docs/runtimes/vercel) - Vercel
- Cloudflare
- Netlify
- Fastly
- Supabase
- Gcore
- AWS Lambda
- Azure Functions
- etc.
See the [ModelFetch documentation](https://www.modelfetch.com/docs) for more details.
<Warning> <Warning>
For development, you can use [ngrok](https://ngrok.com) to temporarily expose For development, you can use [ngrok](https://ngrok.com) to temporarily expose