# How to integrate Browserless MCP with CrewAI ```json { "title": "How to integrate Browserless MCP with CrewAI", "toolkit": "Browserless", "toolkit_slug": "browserless", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/browserless/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/browserless/framework/crew-ai.md", "updated_at": "2026-05-12T10:04:19.626Z" } ``` ## Introduction This guide walks you through connecting Browserless to CrewAI using the Composio tool router. By the end, you'll have a working Browserless agent that can download all invoices from your dashboard, extract product details from a competitor's site, take a screenshot of your homepage after login through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Browserless account through Composio's Browserless MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Browserless with - [ChatGPT](https://composio.dev/toolkits/browserless/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/browserless/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/browserless/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/browserless/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/browserless/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/browserless/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/browserless/framework/codex) - [Cursor](https://composio.dev/toolkits/browserless/framework/cursor) - [VS Code](https://composio.dev/toolkits/browserless/framework/vscode) - [OpenCode](https://composio.dev/toolkits/browserless/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/browserless/framework/openclaw) - [Hermes](https://composio.dev/toolkits/browserless/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/browserless/framework/cli) - [Google ADK](https://composio.dev/toolkits/browserless/framework/google-adk) - [LangChain](https://composio.dev/toolkits/browserless/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/browserless/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/browserless/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/browserless/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Browserless connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Browserless - Build a conversational loop where your agent can execute Browserless 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 Browserless MCP server, and what's possible with it? The Browserless MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Browserless account. It provides structured and secure access to browser automation tools, so your agent can perform actions like fetching web content, scraping data, generating PDFs, taking screenshots, and running custom browser scripts on your behalf. - Dynamic web content extraction: Instruct your agent to fetch full HTML content—including JavaScript-rendered pages—from any website. - Automated web scraping: Let your agent extract structured data from pages using CSS selectors, returning results in convenient JSON format. - On-demand PDF generation: Have your agent instantly generate PDFs from any webpage, with customizable parameters like format and filename. - Website screenshot capture: Direct your agent to take high-quality screenshots of entire pages or specific sections, supporting multiple image formats and options. - Custom browser automations: Empower your agent to execute tailored Puppeteer scripts, enabling powerful workflows like file downloads or bypassing bot protections. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `BROWSERLESS_DOWNLOAD_FILE` | Download file using Puppeteer script | This tool allows downloading files that Chrome has downloaded during the execution of puppeteer code. It sets up a blank page, creates a fresh download directory, injects the provided code, and executes it. Once the script finishes, any downloaded files from Chromium are returned with the appropriate content-type header. | | `BROWSERLESS_EXECUTE_CUSTOM_FUNCTION` | Execute Custom Function | A tool that allows executing custom Puppeteer scripts via HTTP requests. This endpoint enables users to run browser automation tasks without managing their own infrastructure. | | `BROWSERLESS_FETCH_HTML_CONTENT` | Fetch HTML Content | This tool fetches the complete HTML content of a webpage using Browserless's content API. It's designed to retrieve the full HTML contents of any website, including dynamically generated content. | | `BROWSERLESS_GENERATE_PDF` | Generate PDF from webpage | This tool generates a PDF from a specified webpage using browserless's PDF generation API. It allows specifying the URL of the webpage along with parameters such as format, filename, and waitUntil options to control the PDF generation process. | | `BROWSERLESS_SCRAPE_CONTENT` | Scrape webpage content using CSS selectors | A tool to extract structured content from a webpage by specifying CSS selectors. The tool navigates to the specified URL, waits for the page to load (including parsing and executing JavaScript), and returns the selected elements in a structured JSON format. | | `BROWSERLESS_TAKE_SCREENSHOT` | Take Screenshot | A tool that captures a screenshot of a webpage using browserless's screenshot API. The tool takes a URL and returns either a PNG or JPEG image. It includes options for full page capture, image type, quality, and clipping coordinates. | | `BROWSERLESS_UNBLOCK_PROTECTED_CONTENT` | Unblock Protected Content | This tool provides access to content from websites that implement bot protection mechanisms. It is designed to bypass various types of protection (such as CAPTCHA and bot detections) and return the HTML content of the protected webpage, with optional customization through parameters like waitFor, timeout, and stealth mode. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Browserless MCP server is an implementation of the Model Context Protocol that connects your AI agent to Browserless. It provides structured and secure access so your agent can perform Browserless operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Python 3.9 or higher - A Composio account and API key - A Browserless connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies **What's happening:** - composio connects your agent to Browserless via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables 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 ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **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 Browserless MCP URL ```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") ``` ### 5. Create a Composio Tool Router session for Browserless **What's happening:** - You create a Browserless only session through Composio - Composio returns an MCP HTTP URL that exposes Browserless tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["browserless"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **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. ```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, ) ``` ### 7. Create a CLI Chatloop and define the Crew **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. ```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") ``` ## Complete Code ```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=["browserless"], ) 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 Browserless through Composio's Tool Router. The agent can perform Browserless 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 ## How to build Browserless MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/browserless/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/browserless/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/browserless/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/browserless/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/browserless/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/browserless/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/browserless/framework/codex) - [Cursor](https://composio.dev/toolkits/browserless/framework/cursor) - [VS Code](https://composio.dev/toolkits/browserless/framework/vscode) - [OpenCode](https://composio.dev/toolkits/browserless/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/browserless/framework/openclaw) - [Hermes](https://composio.dev/toolkits/browserless/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/browserless/framework/cli) - [Google ADK](https://composio.dev/toolkits/browserless/framework/google-adk) - [LangChain](https://composio.dev/toolkits/browserless/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/browserless/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/browserless/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/browserless/framework/llama-index) ## Related Toolkits - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. - [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms. - [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place. - [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences. - [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses. - [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure. - [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure. - [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction. - [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting. - [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache. - [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence. - [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place. - [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines. - [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure. - [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code. - [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows. - [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights. - [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews. - [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease. - [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Browserless MCP? With a standalone Browserless MCP server, the agents and LLMs can only access a fixed set of Browserless tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Browserless and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? 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 Browserless tools. ### Can I manage the permissions and scopes for Browserless while using Tool Router? Yes, absolutely. You can configure which Browserless 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. ### How safe is my data with Composio Tool Router? 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 Browserless data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)