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mcp/hyperbrowser

A MCP server implementation for hyperbrowser

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Hyperbrowser MCP Server

A MCP server implementation for hyperbrowser.

What is an MCP Server?

Characteristics

Attribute	Details
Docker Image	mcp/hyperbrowser
Author	hyperbrowserai
Repository	[***]
Dockerfile	[***]
Docker Image built by	Docker Inc.
Docker Scout Health Score	!Docker Scout Health Score
Verify Signature	`COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/hyperbrowser --key [***]`
Licence	MIT License

Available Tools (10)

Tools provided by this Server	Short Description
`browser_use_agent`	This tool employs an open-source browser automation agent optimized specifically for fast, efficient, and cost-effective browser tasks using a cloud browser.
`claude_computer_use_agent`	This tool leverages Anthropic's Claude model to autonomously execute complex browser tasks with sophisticated reasoning capabilities using a cloud browser.
`crawl_webpages`	Crawl a website starting from a URL and explore linked pages.
`create_profile`	Creates a new persistent Hyperbrowser profile.
`delete_profile`	Deletes an existing persistent Hyperbrowser profile.
`extract_structured_data`	Extract structured data from a webpage.
`list_profiles`	Lists existing persistent Hyperbrowser profiles, with optional pagination.
`openai_computer_use_agent`	This tool utilizes OpenAI's model to autonomously execute general-purpose browser-based tasks with balanced performance and reliability using a cloud browser.
`scrape_webpage`	Scrape a webpage and extract its content in various formats.
`search_with_bing`	Search the web using Bing.

Tools Details

Tool: `browser_use_agent`

This tool employs an open-source browser automation agent optimized specifically for fast, efficient, and cost-effective browser tasks using a cloud browser. It requires explicit, detailed instructions to perform highly specific interactions quickly.

Optimal for tasks requiring:

Precise, explicitly defined interactions and actions
Speed and efficiency with clear, unambiguous instructions
Cost-effective automation at scale with straightforward workflows

Best suited use cases include:

Explicitly defined registration and login processes
Clearly guided navigation through web apps
Structured, step-by-step web scraping with detailed guidance
Extracting data via explicitly specified browser interactions

You must provide extremely detailed step-by-step instructions, including exact elements, actions, and explicit context. Clearly define the desired outcome for optimal results. Returns the completed result or an error message if issues arise.

Note: This agent trades off flexibility for significantly faster performance and lower costs compared to Claude and OpenAI agents.

Parameters	Type	Description
`task`	`string`	The task to perform inside the browser
`maxSteps`	`integer` optional
`returnStepInfo`	`boolean` optional	Whether to return step-by-step information about the task.Should be false by default. May contain excessive information, so we strongly recommend setting this to false.
`sessionOptions`	`object` optional	Options for the browser session. Avoid setting these if not mentioned explicitly

Tool: `claude_computer_use_agent`

This tool leverages Anthropic's Claude model to autonomously execute complex browser tasks with sophisticated reasoning capabilities using a cloud browser. It specializes in handling intricate, nuanced, or highly context-sensitive web interactions.

Optimal for tasks requiring:

Complex reasoning over multiple web pages
Nuanced interpretation and flexible decision-making
Human-like interaction with detailed context awareness

Best suited use cases include:

Multi-step processes requiring reasoning (e.g., detailed registrations or onboarding)
Interacting intelligently with advanced web apps
Conducting in-depth research with complex conditions
Extracting information from dynamic or interactive websites

Provide detailed task instructions, relevant context, and clearly specify the desired outcome for best results. Returns the completed result or an error message if issues arise.

Parameters	Type	Description
`task`	`string`	The task to perform inside the browser
`maxSteps`	`integer` optional
`returnStepInfo`	`boolean` optional	Whether to return step-by-step information about the task.Should be false by default. May contain excessive information, so we strongly recommend setting this to false.
`sessionOptions`	`object` optional	Options for the browser session. Avoid setting these if not mentioned explicitly

Tool: `crawl_webpages`

Crawl a website starting from a URL and explore linked pages. This tool allows systematic collection of content from multiple pages within a domain. Use this for larger data collection tasks, content indexing, or site mapping.

Parameters	Type	Description
`followLinks`	`boolean`	Whether to follow links on the crawled webpages
`outputFormat`	`array`	The format of the output
`url`	`string`	The URL of the webpage to crawl.
`ignoreSitemap`	`boolean` optional
`maxPages`	`integer` optional
`sessionOptions`	`object` optional	Options for the browser session. Avoid setting these if not mentioned explicitly

Tool: `create_profile`

Creates a new persistent Hyperbrowser profile.

Tool: `delete_profile`

Deletes an existing persistent Hyperbrowser profile.

Parameters	Type	Description
`profileId`	`string`	ID of the profile to delete

Tool: `extract_structured_data`

Extract structured data from a webpage. This tool allows you to extract structured data from a webpage using a schema.

Parameters	Type	Description
`prompt`	`string`	The prompt to use for the extraction
`urls`	`array`	The list of URLs of the webpages to extract structured information from. Can include wildcards (e.g. [***]
`schema`	`string` optional	The json schema to use for the extraction. Must provide an object describing a spec compliant json schema, any other types are invalid.
`sessionOptions`	`object` optional	Options for the browser session. Avoid setting these if not mentioned explicitly

Tool: `list_profiles`

Lists existing persistent Hyperbrowser profiles, with optional pagination.

Parameters	Type	Description
`limit`	`integer` optional	Number of profiles per page (optional)
`page`	`integer` optional	Page number for pagination (optional)

Tool: `openai_computer_use_agent`

This tool utilizes OpenAI's model to autonomously execute general-purpose browser-based tasks with balanced performance and reliability using a cloud browser. It handles complex interactions effectively with practical reasoning and clear execution.

Optimal for tasks requiring:

Reliable, general-purpose browser automation
Clear, structured interactions with moderate complexity
Efficient handling of common web tasks and workflows

Best suited use cases include:

Standard multi-step registration or form submissions
Navigating typical web applications requiring multiple interactions
Conducting structured web research tasks
Extracting data through interactive web processes

Provide a clear step-by-step description, necessary context, and expected outcomes. Returns the completed result or an error message if issues arise.

Parameters	Type	Description
`task`	`string`	The task to perform inside the browser
`maxSteps`	`integer` optional
`returnStepInfo`	`boolean` optional	Whether to return step-by-step information about the task.Should be false by default. May contain excessive information, so we strongly recommend setting this to false.
`sessionOptions`	`object` optional	Options for the browser session. Avoid setting these if not mentioned explicitly

Tool: `scrape_webpage`

Scrape a webpage and extract its content in various formats. This tool allows fetching content from a single URL with configurable browser behavior options. Use this for extracting text content, HTML structure, collecting links, or capturing screenshots of webpages.

Parameters	Type	Description
`outputFormat`	`array`	The format of the output
`url`	`string`	The URL of the webpage to scrape
`sessionOptions`	`object` optional	Options for the browser session. Avoid setting these if not mentioned explicitly

Tool: `search_with_bing`

Search the web using Bing. This tool allows you to search the web using bing.com

Parameters	Type	Description
`query`	`string`	The search query to submit to Bing
`numResults`	`integer` optional	Number of search results to return
`sessionOptions`	`object` optional	Options for the browser session. Avoid setting these if not mentioned explicitly

Use this MCP Server

{
  "mcpServers": {
    "hyperbrowser": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "HYPERBROWSER_API_KEY",
        "mcp/hyperbrowser"
      ],
      "env": {
        "HYPERBROWSER_API_KEY": "<app or user token>"
      }
    }
  }
}

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