How to integrate Anchor browser MCP with CrewAI

This guide walks you through connecting Anchor browser to CrewAI using the Composio tool router. By the end, you'll have a working Anchor browser agent that can fetch full content of a product page, list all active browser sessions now, get details for a specific browser profile through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Anchor browser account through Composio's Anchor browser MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Anchor browser logoAnchor browser
Api Key

Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.

64 Tools

Introduction

This guide walks you through connecting Anchor browser to CrewAI using the Composio tool router. By the end, you'll have a working Anchor browser agent that can fetch full content of a product page, list all active browser sessions now, get details for a specific browser profile through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Anchor browser account through Composio's Anchor browser MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Anchor browser connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Anchor browser
  • Build a conversational loop where your agent can execute Anchor browser operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

What is the Anchor browser MCP server, and what's possible with it?

The Anchor browser MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Anchor browser account. It provides structured and secure access to powerful web automation features, so your agent can fetch web content, manage browser sessions, control profiles, and interact with extensions on your behalf.

  • Automated webpage content retrieval: Instruct your agent to browse to any URL and fetch the fully rendered page content in HTML or markdown, enabling easy scraping or summarization.
  • Session and profile management: Let your agent create, list, or delete browser profiles, as well as start, end, or monitor multiple browsing sessions for different workflows or user contexts.
  • Browser extension control: Have the agent list all installed browser extensions, making it easy to audit and manage your browser environment programmatically.
  • Resource and file listing: Ask your agent to retrieve a list of files or resources uploaded during browser automation tasks, ensuring nothing gets lost in the shuffle.
  • Comprehensive session oversight: Quickly get an overview of all active browser sessions, their statuses, and terminate any or all sessions instantly for security or resource management needs.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Anchor browser connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Anchor browser via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Anchor browser MCP URL
6

Create a Composio Tool Router session for Anchor browser

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["anchor_browser"])

url = session.mcp.url
What's happening:
  • You create a Anchor browser only session through Composio
  • Composio returns an MCP HTTP URL that exposes Anchor browser tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Anchor browser and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["anchor_browser"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Anchor browser through Composio's Tool Router. The agent can perform Anchor browser operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
TOOLS

Supported Tools

Every Anchor browser action and event your agent gets out of the box.

Click Mouse

Tool to perform a mouse click at specified coordinates within a browser session.

Copy Selected Text

Tool to copy currently selected text in a browser session to the clipboard.

Create Integration

Tool to create a new integration with a third-party service like 1Password.

Create or Update Task Draft

Tool to create or update the draft version of a task.

Create Profile

Creates a new browser profile from an active session.

Create Task

Tool to create a new task or update an existing task with the same name.

Delete Extension

Tool to delete a browser extension and remove it from storage.

Delete Integration

Tool to delete an existing integration and remove its stored credentials.

Delete Profile

Tool to delete a browser profile by ID.

Delete Task

Tool to soft delete a task and all its versions.

Delete Task Version

Tool to soft delete a specific version of a task.

Deploy Task

Tool to deploy a task by creating a new version with auto-incremented version number.

Double Click Mouse

Tool to perform a double click at specified coordinates in a browser session.

Drag and Drop

Tool to perform a drag and drop operation from start coordinates to end coordinates within a browser session.

End All Sessions

Tool to terminate all active browser sessions at once.

End Browser Session

Tool to end a specific browser session by ID.

Get Batch Session Status

Tool to retrieve detailed status information for a specific batch including progress and errors.

Get Browser Session

Tool to retrieve detailed information about a specific browser session.

Get Clipboard Content

Tool to retrieve the current content of the clipboard from a browser session.

Get Latest Task Version

Tool to retrieve the latest version of a task including the full base64 encoded code content.

Get Profile (v2)

Tool to retrieve details of a specific profile by its name.

Get Session Pages

Tool to retrieve all pages associated with a specific browser session.

Get Task Draft

Tool to retrieve the draft version of a task, including the full Base64 encoded code content.

Get Task Execution Result

Tool to retrieve a single task execution result by its ID.

Get Task Metadata

Tool to retrieve task metadata without downloading the full task code.

Get Task Version

Tool to retrieve a specific version of a task, including the full code content.

Get Webpage Content

Tool to retrieve rendered content of a webpage in HTML or Markdown format.

List Agent Resources

List all agent resources (files) uploaded to a browser session.

List Extensions

Retrieves all browser extensions uploaded by the authenticated user.

List Integrations

Tool to retrieve all integrations for the authenticated team.

List Profiles

Tool to fetch all stored browser profiles.

List Session Downloads

Tool to retrieve metadata of files downloaded during a browser session.

List Session Recordings

Tool to list all recordings for a specific browser session.

List Sessions

Tool to list all browser sessions.

List Task Executions

Tool to retrieve execution history for a specific task with filtering and pagination support.

List Tasks

Tool to retrieve a paginated list of all tasks for the authenticated team.

List Task Versions

Tool to retrieve all versions of a specific task, including draft and published versions.

Mouse Move

Tool to move the mouse cursor to specified coordinates within a browser session.

Navigate to URL

Tool to navigate a browser session to a specified URL.

Paste Text

Tool to paste text at the current cursor position in a browser session.

Pause Agent

Tool to pause the AI agent for a specific browser session.

Pause Session Recording

Tool to pause the video recording for a specific browser session.

Perform Keyboard Shortcut

Tool to perform a keyboard shortcut using specified keys in a browser session.

Perform Web Task

Tool to perform autonomous web tasks using AI agents.

Mouse Down

Tool to perform a mouse button down action at specified coordinates within a browser session.

Publish Task Version

Tool to publish a specific version of a task.

Release Mouse Button

Tool to release a mouse button at specified coordinates within a browser session.

Resume Agent

Tool to resume the AI agent for a specific browser session.

Resume Session Recording

Tool to resume video recording for a specific browser session.

Run Task

Tool to execute a task in a browser session with a specific or latest version.

Run Task by Name

Tool to execute a task by its name, always using the latest version.

Screenshot Webpage

Tool to take a screenshot of a specified webpage within a session.

Scroll Session

Tool to perform a scroll action at specified coordinates within a browser session.

Set Clipboard Content

Tool to set the content of the clipboard in a browser session.

Signal Event

Tool to signal a specific event to be received by other processes or sessions.

Start Browser Session

Tool to start a new browser session with optional customizations.

Take Screenshot

Tool to take a screenshot of the current browser session and return it as an image.

Type Text

Tool to type specified text with optional delay between keystrokes.

Update Profile

Updates an existing browser profile with data from an active session.

Update Task Metadata

Updates task metadata (name and description).

Upload Extension

Tool to upload a new browser extension as a ZIP file for use in browser sessions.

Upload File

Tool to upload a file to a browser session as an agent resource.

Upload Files to Session

Tool to upload files directly to a browser session for use with web forms and file inputs.

Wait for Event

Blocks execution until a specific named event is signaled or the timeout expires.

FAQ

Frequently asked questions

With a standalone Anchor browser MCP server, the agents and LLMs can only access a fixed set of Anchor browser tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Anchor browser and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. CrewAI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Anchor browser tools.

Yes, absolutely. You can configure which Anchor browser scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Anchor browser data and credentials are handled as safely as possible.

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