Web-LLM Playwright

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Provides browser-based local LLM inference by running Web-LLM models entirely in a headless Chromium browser without external API dependencies, supporting multiple quantized models with dynamic switching and screenshot debugging for privacy-sensitive offline workflows.

Category APIs
Added Mar 28, 2026
Views 66

About

This MCP server provides browser-based local LLM inference by integrating @mlc-ai/web-llm with Playwright automation, running models entirely in a headless Chromium browser without external API dependencies. Built by ragingwind using TypeScript, it loads Web-LLM from CDN into an HTML interface and exposes programmatic access through browser evaluation, supporting multiple quantized models like Llama-3.2, Phi-3.5, and Mistral with dynamic model switching, chat sessions, and screenshot debugging capabilities. The implementation offers true local inference with no data transmission to external services, making it valuable for privacy-sensitive applications, offline AI workflows, and scenarios requiring local model deployment without complex GPU setup or native runtime dependencies.

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