ragingwind-web-llm-playwright
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.
- Score
- 49.1182 signals
- Evidence
- 4 stars · 1 fork
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
MCP server Web-LLM Playwright, catalogued on PulseMCP. 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.
When to use it
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.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.