Hyperbrowser MCP Server

Hyperbrowser MCP is a server for scraping, extracting, and automating browser tasks via APIs.

Tools

1. scrape_webpage

Extract formatted (markdown, screenshot etc) content from any webpage.

2. crawl_webpages

Navigate through multiple linked pages and extract LLM-friendly formatted content.

3. extract_structured_data

Convert messy HTML into structured JSON.

4. search_with_bing

Query the web and get results with Bing search.

5. browser_use_agent

Fast, lightweight browser automation with the Browser Use agent.

6. openai_computer_use_agent

General-purpose automation using OpenAI's CUA model.

7. claude_computer_use_agent

Complex browser tasks using Claude computer use.

8. create_profile

Creates a new persistent Hyperbrowser profile.

9. delete_profile

Deletes an existing persistent Hyperbrowser profile.

10. list_profiles

Lists existing persistent Hyperbrowser profiles.

JSON Config

{
  "mcpServers": {
    "hyperbrowser": {
      "command": "npx",
      "args": ["--yes", "hyperbrowser-mcp"],
      "env": {
        "HYPERBROWSER_API_KEY": "your-api-key"
      }
    }
  }
}

Useful Links

NPM GitHub Homepage DeepWiki

Information

Author@hyperbrowserai
Published date2025/07/29

More MCP Server

墨问笔记 MCP 服务器

@z4656207/mowen-mcp-server

这是一个基于模型上下文协议（MCP）的服务器，用于与墨问笔记软件进行交互。通过此服务器，你可以在支持MCP的应用（如Cursor、Claude Desktop等）中直接创建、编辑和管理墨问笔记。

python stdio

Everything MCP Server

@modelcontextprotocol/servers/tree/main/src/everything

This MCP server attempts to exercise all the features of the MCP protocol. It is not intended to be a useful server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities.

npx streamable-http sse stdio

Context7 MCP

@upstash/context7

This project provides the Context7 MCP Server for seamless integration with LLMs and AI code editors. Context7 MCP Server enables up-to-date code documentation and context management for various AI-powered development tools. It supports easy installation and configuration across popular editors and platforms, including VS Code, Cursor, Zed, JetBrains, and more. By using the @upstash/context7-mcp package, developers can connect their clients to Context7’s remote or local server, ensuring efficient access to code documentation and context-aware features for enhanced productivity in AI-assisted coding environments.

streamable-http stdio