LabscoMCP early access ↗
ModelPiperMCP SERVER · OFFICIAL PROJECT

ToolPiper

Turn a Mac into a local tool platform — inference, vision, browser automation and around 140 system actions, served over MCP with nothing leaving the machine.

by ModelPiper ↗Desktop & OS Automation✓ Official

LABSCO SUMMARY

The catalog is the problem and the fix is in the same page.

A 300-tool server does not fit comfortably in most agents' context, which is why the category filter matters more than any single tool: connect with --category core for 11 tools, or --profile automation for 34, and both the tool list and the server instructions trim to match. Everything runs on the machine, and that claim is checkable rather than promised — lsof -i -P | grep ToolPiper shows what it is talking to while it runs.

What it is

A native macOS app that runs a built-in MCP server alongside on-device inference. It exposes the machine itself to any MCP client: local LLM chat, speech and vision on the Neural Engine, Chrome automation over CDP, screen recording, and system control across 26 macOS domains.

What you get

  • Local inference and speech — chat, audio_transcribe, audio_speak and text_embed, all on-device
  • Apple frameworks and retrieval — vision_ocr, image_analyze, text_analyze and rag_query over a hybrid HNSW and BM25 index
  • Browser automation shaped for agents — browser_snapshot returns an accessibility-tree snapshot, browser_action drives the page, browser_assert gives a verdict, browser_intercept mocks network responses
  • Saved browser tests you can replay and export — test_run, test_save, test_export
  • System control across windows, Spaces, clipboard, audio, displays, Finder, Calendar, Reminders, Contacts, notifications, processes, network and Bluetooth, under the system_* prefix
  • Video work — video_record, video_render, video_edit_timeline, with OTIO, FCP XML and EDL export
  • Model management — model_search, model_download and model_load against HuggingFace
  • Five resources including toolpiper://status and toolpiper://models, and five workflow prompts such as audit-page and create-test

Requirements

macOS on Apple Silicon. Install the app, launch it once, then connect over Streamable HTTP at http://127.0.0.1:9998/mcp — loopback needs no auth, and that is enforced at the kernel socket rather than by checking headers, so LAN peers still need a bearer token. A stdio path exists too through the ~/.toolpiper/mcp symlink created at launch. The local model runner is free with no account; the Pro tier at $10/mo adds all nine inference backends and the full voice suite. This repository holds the server manifest and setup guides; the app itself is not open source.

Setup effort

One command — claude mcp add --transport http toolpiper http://127.0.0.1:9998/mcp

See installation options