Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation.
This is Hyperbrowser's Model Context Protocol (MCP) Server. It provides various tools to scrape, extract structured data, and crawl webpages. It also provides easy access to general purpose browser agents like OpenAI's CUA, Anthropic's Claude Computer Use, and Browser Use.
More information about the Hyperbrowser can be found here. The hyperbrowser API supports a superset of features present in the mcp server.
More information about the Model Context Protocol can be found here.
To install the server, run:
npx hyperbrowser-mcp <YOUR-HYPERBROWSER-API-KEY>
Add to ~/.cursor/mcp.json
like this:
{
"mcpServers": {
"hyperbrowser": {
"command": "npx",
"args": ["-y", "hyperbrowser-mcp"],
"env": {
"HYPERBROWSER_API_KEY": "YOUR-API-KEY"
}
}
}
}
Add to your ./codeium/windsurf/model_config.json
like this:
{
"mcpServers": {
"hyperbrowser": {
"command": "npx",
"args": ["-y", "hyperbrowser-mcp"],
"env": {
"HYPERBROWSER_API_KEY": "YOUR-API-KEY"
}
}
}
}
For development purposes, you can run the server directly from the source code.
Clone the repository:
git clone git@github.com:hyperbrowserai/mcp.git hyperbrowser-mcp
cd hyperbrowser-mcp
Install dependencies:
npm install # or yarn install
npm run build
Run the server:
node dist/server.js
This is an example config for the Hyperbrowser MCP server for the Claude Desktop client.
{
"mcpServers": {
"hyperbrowser": {
"command": "npx",
"args": ["--yes", "hyperbrowser-mcp"],
"env": {
"HYPERBROWSER_API_KEY": "your-api-key"
}
}
}
}
scrape_webpage
- Extract formatted (markdown, screenshot etc) content from any webpagecrawl_webpages
- Navigate through multiple linked pages and extract LLM-friendly formatted contentextract_structured_data
- Convert messy HTML into structured JSONsearch_with_bing
- Query the web and get results with Bing searchbrowser_use_agent
- Fast, lightweight browser automation with the Browser Use agentopenai_computer_use_agent
- General-purpose automation using OpenAI’s CUA modelclaude_computer_use_agent
- Complex browser tasks using Claude computer usecreate_profile
- Creates a new persistent Hyperbrowser profile.delete_profile
- Deletes an existing persistent Hyperbrowser profile.list_profiles
- Lists existing persistent Hyperbrowser profiles.To install Hyperbrowser MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @hyperbrowserai/mcp --client claude
The server provides the documentation about hyperbrowser through the resources
methods. Any client which can do discovery over resources has access to it.
This project is licensed under the MIT License.
A MCP server that provides comprehensive website snapshot capabilities using Playwright. This server enables LLMs to capture and analyze web pages through structured accessibility snapshots, network monitoring, and console message collection.
MCP Server to let Claude / your AI control the browser
Fast, token-efficient web content extraction that converts websites to clean Markdown. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching with minimal dependencies.
High-quality screenshot capture optimized for Claude Vision API. Automatically tiles full pages into 1072x1072 chunks (1.15 megapixels) with configurable viewports and wait strategies for dynamic content.
Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
Playwright MCP server
Leverage Notte Web AI agents & cloud browser sessions for scalable browser automation & scraping workflows
Interact with WebScraping.AI for web data extraction and scraping.
Enable AI agents to get structured data from unstructured web with AgentQL.
Turn websites into datasets with Scrapezy