Web LLM
High-performance In-browser LLM Inference Engine
Early proposal and implementation for connecting LLMs to web pages.
WebMCP is an open-source local llm project by jasonjmcghee (jasonjmcghee/WebMCP on GitHub). It has 883 GitHub stars and 54 forks, is released under the MIT license, and was last updated on GitHub on 15 February 2026.
Understand the original WebMCP idea.
See how the early implementation worked.
Look at how the concept evolved.
Use it as inspiration, not infrastructure.
One of the first WebMCP attempts.
A working sketch of the idea.
About LLMs interacting with pages.
Transparent evolution of the concept.
Free to study and reuse.
Useful for standards archaeology.
Download the source and move into the project folder.
git clone https://github.com/jasonjmcghee/WebMCP.git
cd WebMCPEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command โ Docker, pip, npm, or a binary release.
# see README for the exact launch commandNo, the author points to successor work by others.
Better to follow the current evolution of the idea instead.
MIT licensed โ commercial use allowed.
Work continuing under the broader web machine learning community.
It is an honest look at where the web-AI connection idea started.
High-performance In-browser LLM Inference Engine
Typescript/React Library for AI Chat ๐ฌ๐
โก Pure-Rust WebGPU inference engine โ OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
Fast Rust scraper that turns web pages into clean data for LLMs.
Run local LLMs like Llama and DeepSeek right inside your web browser.
A lightweight vLLM implementation built from scratch in about 1,200 readable lines of Python.
The most-starred other Local LLM projects in the LibreAI catalogue โ the realistic shortlist if WebMCP is not the right fit.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
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Free and open โ grab the source, star the repo, and start creating.