LibreAI / Local LLM / WebMCP
// local-llm ยท jasonjmcghee/WebMCP

WebMCP

Early proposal and implementation for connecting LLMs to web pages.

๐Ÿ’Ž Hidden gemโ˜… 883 starsโ‘‚ 54 forksMITupdated 2026-02
โ–ฆ visual โ€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

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.

GitHub stars
883
Forks
54
License
MIT
Last updated on GitHub
15 February 2026
Category
Local LLM
Listing
Hidden gem โ€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Read the proposal

    Understand the original WebMCP idea.

  2. Review the code

    See how the early implementation worked.

  3. Compare successors

    Look at how the concept evolved.

  4. Build on the idea

    Use it as inspiration, not infrastructure.

// features

Why people love it

Early proposal

One of the first WebMCP attempts.

Reference code

A working sketch of the idea.

Web focus

About LLMs interacting with pages.

Open history

Transparent evolution of the concept.

MIT licensed

Free to study and reuse.

Research value

Useful for standards archaeology.

Advertisement
// run it

Run it yourself

  1. Step 1 โ€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/jasonjmcghee/WebMCP.git
    cd WebMCP
  2. Step 2 โ€” Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 โ€” Run it

    Follow the project's launch command โ€” Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

Advertisement
// faq

Questions, answered

Is this still maintained?

No, the author points to successor work by others.

Should I build on it?

Better to follow the current evolution of the idea instead.

Is webmcp free for commercial use?

MIT licensed โ€” commercial use allowed.

What replaced it?

Work continuing under the broader web machine learning community.

Why include it then?

It is an honest look at where the web-AI connection idea started.

// keep exploring

Similar tools

Local LLM

Web LLM

High-performance In-browser LLM Inference Engine

โ˜… 19.2k starsApache-2.0
View guide โ†’
Local LLM

assistant-ui

Typescript/React Library for AI Chat ๐Ÿ’ฌ๐Ÿš€

โ˜… 12.4k starsMIT
View guide โ†’
Local LLM

shimmy

โšก Pure-Rust WebGPU inference engine โ€” OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

โ˜… 5.9k starsApache-2.0
View guide โ†’
Local LLM

webclaw

Fast Rust scraper that turns web pages into clean data for LLMs.

โ˜… 2.4k starsAGPL-3.0
View guide โ†’
Local LLM

BrowserAI

Run local LLMs like Llama and DeepSeek right inside your web browser.

โ˜… 1.5k starsMIT
View guide โ†’
Local LLM

nano-vllm

A lightweight vLLM implementation built from scratch in about 1,200 readable lines of Python.

โ˜… 15.7k starsMIT
View guide โ†’
// alternatives

Alternatives in Local LLM

The most-starred other Local LLM projects in the LibreAI catalogue โ€” the realistic shortlist if WebMCP is not the right fit.

Get WebMCP

Free and open โ€” grab the source, star the repo, and start creating.