// agents · hyperbrowserai/mcp

mcp

An MCP server that puts Hyperbrowser's browsers behind the protocol.

★ 789 stars⑂ 75 forksMITupdated 2025-11
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

mcp is an open-source ai agents project by hyperbrowserai (hyperbrowserai/mcp on GitHub). It has 789 GitHub stars and 75 forks, is released under the MIT license, and was last updated on GitHub on 20 November 2025.

GitHub stars
789
Forks
75
License
MIT
Last updated on GitHub
20 November 2025
Category
AI Agents
Listing
Full install guide
// how it works

How it works

  1. Pick a use case

    Start with one concrete task rather than a grand architecture.

  2. Fetch the source

    Clone the repo and check the examples folder for a quickstart.

  3. Configure it

    Install packages, set environment variables, and point it at your model.

  4. Run and iterate

    Execute the demo workflow, then adapt it to your own data.

// features

Why people love it

MCP interface

Browser tools over the protocol.

Hyperbrowser-backed

Cloud browsers as a service.

Client-agnostic

Any MCP client can use it.

TypeScript

Fits JS agent stacks.

MIT licensed

Free to use and adapt.

Focused scope

One integration, done well.

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// run it

Run it yourself

  1. Step 1 - Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/hyperbrowserai/mcp.git
    cd mcp
  2. Step 2 - Install dependencies

    Pull in the Node packages the project needs.

    npm install
  3. Step 3 - Build or run it

    Treat these as starting points - the README documents the exact commands.

    npm run build
// use cases

What you can build

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// faq

Questions, answered

Who maintains this project?

hyperbrowserai/mcp is its home on GitHub, with 75 forks so far. The contributors tab and recent commits show how actively it is maintained.

Is mcp free to use?

Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.

Do I need a paid API to use it?

The code is free; you bring your own model provider, which may be a paid API or a local model.

This vs playwright-mcp?

Both are browser MCP servers: this one fronts Hyperbrowser's cloud browsers, while playwright-mcp is Microsoft's Playwright-based server. Pick by which browser backend you want.

How do I get started?

Follow the README quickstart, then browse the examples directory for patterns that match what you want to build.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if mcp is not the right fit.

Get mcp

Free and open — grab the source, star the repo, and start creating.