# ModelPiper > ModelPiper is a suite of local-first AI apps for macOS. A browser-based visual pipeline builder connects to native companion apps that handle LLM inference, speech, vision, OCR, NLP, RAG, image/video upscaling, browser automation, and more — all running on-device with no cloud dependency. ## Products - [ModelPiper Web App](https://modelpiper.com/pipeline): Browser-based visual drag-and-drop AI pipeline builder. Block-based interface for connecting LLMs, vision, TTS, STT, and image models into multi-step workflows. Chat, image processing, video upscaling, and E2E test authoring. Free to use. - [ToolPiper for macOS](https://modelpiper.com/download): Local AI gateway and MCP server. Bundles 9 inference backends (llama.cpp, Apple Intelligence, FluidAudio STT, FluidAudio TTS, MLX Audio TTS, Apple Vision OCR, CoreML Image Upscale, CoreML Pose, CoreML Embedding). Over 300 MCP tools across 9 categories — core inference, analysis, browser, testing, motion, outreach, system, video, and OAuth. Includes 26 system-action domains (audio, display, network, Bluetooth, calendar, contacts, Finder, notifications, power, process, reminders, system settings, window management) with 142 actions and push-to-talk voice commands (140ms STT on Apple Neural Engine). OpenAI-compatible API on localhost. Cloud API proxy with Keychain key injection. Free DMG download with optional $10/mo Pro. - [VisionPiper for macOS](https://modelpiper.com/visionpiper): Screen capture, MP4 recording, GIF conversion, and live WebSocket streaming. Region selection with pass-through interior. Free on the Mac App Store. - [AudioPiper for macOS](https://modelpiper.com/audiopiper): Multi-source audio mixer and recorder. Captures microphone, system audio, and per-app audio via Core Audio Taps. Actor-based streaming WAV recording. Free on the Mac App Store. - [MediaPiper Browser Extension](https://chromewebstore.google.com/detail/mediapiper/gknkckkachhflfmhdiaeaomacceechnb): Chrome, Firefox, and Safari extension for full-size image preview on hover. Declarative sieve engine resolves thumbnails to full-size images. AI image upscaling via ToolPiper. Free. ## Documentation - [Homepage](https://modelpiper.com/): Product overview, features, pricing, and getting started guide - [Documentation Hub](https://modelpiper.com/docs): All docs — 16 capabilities, 5 apps - [ToolPiper API Reference](https://modelpiper.com/docs/toolpiper): REST API documentation, 90+ endpoints, dev tokens - [MCP Server Docs](https://modelpiper.com/docs/mcp): over 300 MCP tools, stdio + HTTP transports, setup for Claude Code / Cursor / Windsurf - [MCP Landing Page](https://modelpiper.com/mcp): MCP tool categories, installation guide, per-feature filtering - [MCP Tools Marketplace](https://modelpiper.com/mcp-tools): Curated third-party MCP servers installable in ToolPiper with one click — 20 servers across developer tools, data, productivity, search, content, system, and AI tooling - [GitHub MCP Server](https://modelpiper.com/mcp-tools/github): Create issues, manage pull requests, and search repositories from your AI assistant - [Filesystem MCP Server](https://modelpiper.com/mcp-tools/filesystem): Read and write files in a directory you choose - [Postgres MCP Server](https://modelpiper.com/mcp-tools/postgres): Run SQL queries against a Postgres database - [Slack MCP Server](https://modelpiper.com/mcp-tools/slack): Read channels, post messages, and search Slack workspaces - [Fetch MCP Server](https://modelpiper.com/mcp-tools/fetch): Fetch URLs and parse the content into markdown for the model - [Git MCP Server](https://modelpiper.com/mcp-tools/git): Read, search, and manipulate Git repositories on disk - [Memory MCP Server](https://modelpiper.com/mcp-tools/memory): Knowledge-graph backed persistent memory across chats - [Sequential Thinking MCP Server](https://modelpiper.com/mcp-tools/sequential-thinking): Dynamic, reflective problem-solving through thought sequences - [Time MCP Server](https://modelpiper.com/mcp-tools/time): Time and timezone conversion utilities - [Everything MCP Server](https://modelpiper.com/mcp-tools/everything): Reference test server exercising every MCP feature - [SQLite MCP Server](https://modelpiper.com/mcp-tools/sqlite): Query SQLite databases and run business-intelligence prompts - [Redis MCP Server](https://modelpiper.com/mcp-tools/redis): Interact with Redis key-value stores from the assistant - [Puppeteer MCP Server](https://modelpiper.com/mcp-tools/puppeteer): Headless browser automation and web scraping - [GitLab MCP Server](https://modelpiper.com/mcp-tools/gitlab): Manage GitLab projects, issues, and merge requests - [Google Drive MCP Server](https://modelpiper.com/mcp-tools/google-drive): Search and read files from Google Drive - [Google Maps MCP Server](https://modelpiper.com/mcp-tools/google-maps): Geocoding, directions, and place lookup via Google Maps - [Brave Search MCP Server](https://modelpiper.com/mcp-tools/brave-search): Web and local search via Brave's privacy-focused search API - [Sentry MCP Server](https://modelpiper.com/mcp-tools/sentry): Retrieve and analyze issues from Sentry.io - [AWS Knowledge Base MCP Server](https://modelpiper.com/mcp-tools/aws-kb-retrieval): Retrieve answers from an AWS Bedrock Knowledge Base - [EverArt MCP Server](https://modelpiper.com/mcp-tools/everart): AI image generation using multiple model backends - [ModelPiper Web App Docs](https://modelpiper.com/docs/modelpiper): Pipeline builder, block types, providers, workflows - [VisionPiper Docs](https://modelpiper.com/docs/visionpiper): Screen capture, recording, streaming - [AudioPiper Docs](https://modelpiper.com/docs/audiopiper): Audio mixer, per-app capture, recording - [MediaPiper Docs](https://modelpiper.com/docs/mediapiper): Browser extension, sieve engine, AI upscale - [Blog](https://modelpiper.com/blog): 131 technical articles and papers - [Blog RSS Feed](https://modelpiper.com/blog/feed.xml): RSS 2.0 feed of all blog articles and papers - [Workflows](https://modelpiper.com/workflow): 9 definitive guides to local AI workflows on Mac - [Changelog](https://modelpiper.com/changelog): Versioned release notes — also available as Markdown at /changelog.md - [OpenAPI Specification](https://modelpiper.com/api/openapi.json): Machine-readable OpenAPI 3.1 spec for the ToolPiper REST API (200+ operations) - [API Catalog](https://modelpiper.com/.well-known/api-catalog): RFC 9727 linkset pointing at the spec and human-facing docs ## Key Facts - ToolPiper is an MCP server with over 300 tools and 5 resources — stdio and HTTP transports - 9 bundled inference backends: llama.cpp, Apple Intelligence, FluidAudio STT, FluidAudio TTS, MLX Audio TTS, Apple Vision OCR, CoreML Image Upscale, CoreML Pose, CoreML Embedding - PiperSR video upscale: 44.4 FPS on M4 Max (1.5x realtime) using double-buffered ANE+Metal pipeline - Custom CDP browser automation engine with AX-native selectors, self-healing (~5-15ms), and mutation diffing - PiperTest: visual AX-native test format with Playwright/Cypress export - 16-framework detection in web scraper (React, Vue, Angular, Svelte, Next.js, Nuxt, etc.) - HNSW + BM25 hybrid RAG with semantic chunking, Apple NL embeddings (zero-setup) - Voice cloning via Qwen3 TTS with reference audio - Push-to-talk dictation: 140ms on Apple Neural Engine, 25 languages - ToolPiper system actions: 26 action domains, 142 actions, 162 MCP tools for desktop automation (built in to ToolPiper) - All AI processing runs locally on-device — no cloud required unless user opts in - ToolPiper requires macOS 26 or later, optimized for Apple Silicon - Privacy-focused: prompts, responses, and workflows never leave the device - All companion apps (VisionPiper, AudioPiper, MediaPiper) are free ## MCP Server Setup ``` claude mcp add toolpiper -- ~/.toolpiper/mcp ``` Or in .mcp.json: `{ "mcpServers": { "toolpiper": { "type": "stdio", "command": "~/.toolpiper/mcp" } } }` HTTP transport: `{ "mcpServers": { "toolpiper": { "type": "http", "url": "http://localhost:9998/mcp" } } }` ## Optional: llms-full.txt For a detailed version with all articles and documentation pointers, see [llms-full.txt](https://modelpiper.com/llms-full.txt). ## Community - [GitHub Discussions](https://github.com/ModelPiper/modelpiper-community/discussions): Community discussion board - [X / Twitter](https://x.com/modelpiper) - [LinkedIn](https://www.linkedin.com/company/piperkit/) - [Reddit](https://www.reddit.com/r/ModelPiper/) ## Legal - [Privacy Policy](https://modelpiper.com/privacy) - [Terms of Service](https://modelpiper.com/terms)