Web Mcp: Browser Mcp Service, Ai Automated Operations
LocalAbout Web Mcp: Browser Mcp Service, Ai Automated Operations
WEB MCP is a browser extension that enables MCP support in a browser with one click, letting AI carry out web tasks. It does not depend on Playwright and keeps existing login sessions. It offers both remote and local proxy connection modes.
Key features
- 01One-click activation of browser MCP support
- 02No Playwright or other extra dependencies
- 03Keeps existing login sessions
- 04Switches between remote and local MCP proxy
- 05Partial support for mobile browsers
Use cases
- 01Letting an AI assistant act on pages where the user is logged in
- 02Automating web tasks without logging in again
- 03Connecting to browser MCP services through a remote or local proxy
MCP support
The extension includes an MCP proxy server that relays messages over SSE and manages sessions and authentication, so the browser can be reached by MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README🚀 WEB MCP - One-Click Browser Empowerment
Zero Configuration | No Account Relogin | Plug-and-Play MCP Service
Activate MCP (Model Context Protocol) for your browser instantly -
No Playwright dependencies, no repeated logins, with partial mobile browser support.
✨ Core Value
▸ One-click activation of native MCP support
▸ Eliminates complex setups like Playwright
▸ Preserves existing login sessions at zero migration cost
▸ Dual-mode connectivity: Remote/Local proxy switching
🛠️ Technical Architecture
Browser Extension
▸ Browser & webpage automation toolkit
▸ Seamless MCP proxy server integration
Remote/Local MCP Proxy
▸ Relays MCP messages with SSE MCP compliance
▸ Session management & authentication
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.