Installation is a one-liner curl script (see README)
Instead of configuring your AI with dozens of individual tools, drop a ts file in a directory, and give the LLM one capability: execute TypeScript with lootbox.
// my-functions/example.ts
export async function analyzeText(args: { text: string }) {
return {
length: args.text.length,
words: args.text.split(' ').length,
uppercase: args.text.toUpperCase()
};
}
# Run server with your functions + MCP servers
lootbox-runtime --rpc-dir ./my-functions --mcp-config mcp.json
# AI writes code that uses both:
lootbox -e '
const file = await tools.mcp_github.read_file({repo: "x/y", path: "README.md"});
const analysis = await tools.myapp.analyzeText({text: file});
console.log(analysis);
'
AI gets full type definitions for everything. Writes code that chains operations together instead of doing sequential tool calls.
LLM scripts are executed in a Deno Sandbox with only net access. RPC files get full access.
Based on Cloudflare's Code Mode research but completely local.
Check the README for some sample rpc files, a workflow, and a much deeper dive on how it all works.
Typically Claude Code will use
lootbox --help
lootbox --namespaces
lootbox --types kv,sqlite // returns the types from the typed client
Lootbox can also run files so you can tell Claude to save the script as a file and later just run it with
lootbox path/to/script.ts
https://github.com/jx-codes/lootbox
Original Take: https://github.com/jx-codes/codemode-mcp