# How to integrate Screenshotone MCP with CrewAI

```json
{
  "title": "How to integrate Screenshotone MCP with CrewAI",
  "toolkit": "Screenshotone",
  "toolkit_slug": "screenshotone",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/screenshotone/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/screenshotone/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:24:56.639Z"
}
```

## Introduction

This guide walks you through connecting Screenshotone to CrewAI using the Composio tool router. By the end, you'll have a working Screenshotone agent that can capture animated scroll of home page, generate gif of website login process, create video walkthrough of landing page through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Screenshotone account through Composio's Screenshotone MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Screenshotone with

- [OpenAI Agents SDK](https://composio.dev/toolkits/screenshotone/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/screenshotone/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/screenshotone/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/screenshotone/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/screenshotone/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/screenshotone/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/screenshotone/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/screenshotone/framework/cli)
- [Google ADK](https://composio.dev/toolkits/screenshotone/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/screenshotone/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/screenshotone/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/screenshotone/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/screenshotone/framework/llama-index)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Screenshotone connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Screenshotone
- Build a conversational loop where your agent can execute Screenshotone 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 Screenshotone MCP server, and what's possible with it?

The Screenshotone MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Screenshotone account. It provides structured and secure access to high-quality website screenshot capabilities, so your agent can capture animated screenshots, customize output formats, control viewport settings, and automate site capture workflows on your behalf.
- Instant animated website capture: Direct your agent to take animated screenshots (videos or GIFs) of any public website with a single prompt.
- Custom animation scenarios: Have your agent simulate scrolling or user interactions to create more dynamic, realistic captures.
- Flexible format and duration: Specify if you want the output as a video or GIF and set the animation duration to suit your needs.
- Viewport and device emulation: Let your agent adjust viewport size, resolution, and device type for pixel-perfect screenshots across platforms.
- Automated visual documentation: Use your agent to generate and manage visual records of web pages for reporting, monitoring, or archiving workflows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SCREENSHOTONE_GET_USAGE` | Get Usage | Tool to retrieve current API plan usage information. Returns total requests allowed, available requests remaining, used requests count, and concurrency limits for the current billing period. |
| `SCREENSHOTONE_LIST_DEVICES` | List Devices | Tool to retrieve the list of supported devices for viewport emulation. Use when you need to get available device IDs and their viewport configurations for device emulation in screenshot operations. |
| `SCREENSHOTONE_TAKE_ANIMATED_SCREENSHOT` | Take Animated Screenshot | This tool captures an animated screenshot (video or GIF) of a given website URL. It allows customization of the animation format, duration, viewport dimensions, and animation scenario (e.g., scrolling). |
| `SCREENSHOTONE_TAKE_BULK_SCREENSHOTS` | Take Bulk Screenshots | Tool to take multiple screenshots in a single request with shared defaults and individual overrides. Use when you need to capture screenshots of multiple URLs or the same URL with different parameters. Supports lazy loading (default) where screenshots are taken on download, or immediate execution with execute=true. |
| `SCREENSHOTONE_TAKE_SCREENSHOT` | Take Screenshot | Tool to generate a screenshot or PDF of a website, render HTML, or Markdown using POST request. Use when you need to capture webpage content in various formats (PNG, JPEG, WebP, PDF, HTML). Supports both returning binary content directly or getting a cached URL via JSON response. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Screenshotone MCP server is an implementation of the Model Context Protocol that connects your AI agent to Screenshotone. It provides structured and secure access so your agent can perform Screenshotone 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 Screenshotone 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 Screenshotone 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 Screenshotone 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 Screenshotone

**What's happening:**
- You create a Screenshotone only session through Composio
- Composio returns an MCP HTTP URL that exposes Screenshotone tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["screenshotone"])

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=["screenshotone"],
)
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 Screenshotone through Composio's Tool Router. The agent can perform Screenshotone 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 Screenshotone MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/screenshotone/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/screenshotone/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/screenshotone/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/screenshotone/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/screenshotone/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/screenshotone/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/screenshotone/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/screenshotone/framework/cli)
- [Google ADK](https://composio.dev/toolkits/screenshotone/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/screenshotone/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/screenshotone/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/screenshotone/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/screenshotone/framework/llama-index)

## Related Toolkits

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- [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.
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- [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 Screenshotone MCP?

With a standalone Screenshotone MCP server, the agents and LLMs can only access a fixed set of Screenshotone tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Screenshotone 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 Screenshotone tools.

### Can I manage the permissions and scopes for Screenshotone while using Tool Router?

Yes, absolutely. You can configure which Screenshotone 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 Screenshotone data and credentials are handled as safely as possible.

---
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