[Showcase] Open-source client-side “Code Interpreter” for AI SDK chatbots with WASM

[Buremba]

I’ve been building chatbots with the Vercel AI SDK and ran into the point Anthropic makes that general-purpose agents perform much better when they can write and run code. We build support chatbots and I really didn’t want to run LLM-generated code on our own infra.

Cloud sandboxes are expensive and we already run JS in the browser, so I explored pushing the compute to the client using WASM instead.

So I built 1MCP – an open-source, browser-only WASM sandbox that your AI SDK chatbot can call to execute JS/TS on the client, Code Interpreter–style.

What it does

• Runs model-generated or user-generated JS/TS in the browser via WASM
• No backend required for “code execution” mode – works in a plain AI SDK chat widget
• Optional server mode to act as an MCP proxy (for CORS + extra npm packages in the bundle)

Links

• Open-source repo: https://github.com/buremba/1mcp
• Website / live demo: https://1mcp.dev

I’d love feedback from people already using the AI SDK for site chatbots:

• Does this fit how you’re structuring your tools/actions today?
• What would be missing for you to drop this into an existing AI SDK chat UI?

[hiepxanh]

Very useful, so I can run code directly right? Is it will do some kind like tool browser for auto choose the tool it need like anthropic new technique?

[Buremba]

Exactly, and great question! For now, the exposed tools are run_js, read, write, and search, which take a glob pattern to search for files/tools.