Mcptocodemode — Development skill for Claude Code

MCPtoCodeMode

[Specification](SPEC.md) · [Benchmarks](REPORT.md) · [CI](https://github.com/minkaworks/mcptocodemode/actions/workflows/ci.yml) · [MIT License](LICENSE) · [Changelog](CHANGELOG.md)

One MCP server in front of all the MCP servers you already use. Your model sees three tools instead of hundreds, and it writes one short program instead of making dozens of tool calls.

npx -y mcptocodemode list

That finds the MCP servers already configured on your machine (Claude Code, Codex, Cursor, Grok, OpenCode, Pi, VS Code), connects to them, and prints what the model will be able to call.

Why

Connect seven MCP servers and your client puts 55 tool definitions in every prompt. Then ask it something like *"read these 25 order files and total the paid ones"*. That is 26 tool calls and 26 model turns, and each turn re-reads every file that came before it.

With MCPtoCodeMode the model writes this once, and only the answer comes back:

const listing = await filesystem.list_directory({ path: "/data/orders" });
const names = listing.content.split("\n").map((line) => line.replace("[FILE] ", ""));
const orders = await Promise.all(
  names.map(async (name) => JSON.parse((await filesystem.read_text_file({ path: `/data/orders/${name}` })).content)),
);
const paid = orders.filter((order) => order.status === "paid");
return { paid: paid.length, total: paid.reduce((sum, order) => sum + order.total, 0) };

The code runs in a sandbox with no network, no filesystem, and no credentials. Its only way out is the MCP servers you configured.

Benchmarks

Seven official [reference servers](https://github.com/modelcontextprotocol/servers), 55 tools. Method, raw data, and caveats are in [REPORT.md](REPORT.md).

With Claude Sonnet 5.5 on real tasks, through OpenRouter:

	Plain MCP	MCPtoCodeMode
Correct answers, three tasks × 3 runs	9 / 9	9 / 9
Input tokens for those 9 runs	531,480	94,002 (5.7× fewer)
Cost for t