EndymionLee GitHub avatar

PilotBrowseMCP

EndymionLee

Pilot Browse MCP is an MCP toolset and website capability learner for browsers that enables AI agents to autonomously explore websites, discover APIs, and build reusable understanding manuals.

Stars

99

7-day growth

-6

Forks

1

Open issues

0

License

MIT

Last updated

2026-07-27

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It bridges the gap between AI agents and complex web interactions by automatically discovering APIs and binding them to browser workflows, creating a persistent manual that reduces LLM token usage and enables offline automation via scripts (PAB or Python).

Who it is for

  • AI developers building browser automation agents
  • Web developers needing testing or reverse engineering
  • Data collectors and scrapers
  • Researchers working with web-based AI agents

Use cases

  • Automate repetitive browser tasks like saving content or filling forms
  • Build a knowledge base for an agent to navigate complex websites (e.g., social media, e-commerce)
  • Generate scripts for data scraping and deploy them in containers
  • Teach an agent how to use a specific website via recording and element marking

Strengths

  • 49 MCP tools covering pages, actions, network, tabs, recording, and data
  • Token-efficient saving bypasses LLM for content extraction (direct file save)
  • Supports both LLM-driven and script-based (no LLM) automation modes
  • Shadow DOM and contenteditable support

Considerations

  • Requires building and running a Node.js server and Chrome extension separately
  • Initial setup involves MCP configuration and manual path setup
  • Some features (cookies, local storage, screenshot) require explicit permission granting

README quick start

Quick Start with Examples

Description

A browser runtime that lets AI agents control your real Chrome browser via MCP. Agents can explore websites, generate operation manuals, and reuse them to save tokens. AI操控你的真实浏览器。

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