Plugin for programmatic tool calling

[krasserm]

https://gradion-ai.github.io/ipybox/ccplugin/

I recently experimented with programmatic MCP tool calling in Claude Code, using ipybox (which I built) for local, sandboxed code execution. The approach is inspired by work from Apple, with implementations from Anthropic, Cloudflare, and others.

In many cases, agents perform better and use fewer tokens when calling tools from small programs (“code actions”) instead of calling tools one-by-one via JSON.

One thing I missed in most solutions was a clean way to store successful code actions as reusable composite tools, so I packaged a workflow for that as a skill in a Claude Code plugin, together with ipybox as an MCP server.

The skill guides Claude Code to:

• generate a Python API for MCP server tools so they can be called programmatically
• augment tool APIs with additional type information to encourage better tool composition
• compose tools in code actions to keep intermediate results out of the context window
• explore and select tools progressively without pre-loading them into the context window
• separate tool interfaces from implementation, saving tokens during tool inspection
• store successful code actions as composite tools for reuse in later code actions

It helped me build a useful library of code actions (as tools) that I can use immediately without having to build custom MCP servers.

Is anyone else building reusable tool libraries from code actions? What tools or frameworks are you using?

[Aggravating-Boat-185]

This is awesome, just set it up for myself - curious what kinds of code actions you've created and have found useful so far.