# How to integrate Screenshotone MCP with OpenAI Agents SDK

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

## Introduction

This guide walks you through connecting Screenshotone to the OpenAI Agents SDK 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 OpenAI Agents SDK 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

- [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)
- [CrewAI](https://composio.dev/toolkits/screenshotone/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Screenshotone
- Configure an AI agent that can use Screenshotone as a tool
- Run a live chat session where you can ask the agent to perform Screenshotone operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Screenshotone project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Screenshotone.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only screenshotone.
- The router checks the user's Screenshotone connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Screenshotone.
- This approach keeps things lightweight and lets the agent request Screenshotone tools only when needed during the conversation.
```python
# Create a Screenshotone Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["screenshotone"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Screenshotone
const session = await composio.create(userId as string, {
  toolkits: ['screenshotone'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Screenshotone. "
        "Help users perform Screenshotone operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Screenshotone. Help users perform Screenshotone operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["screenshotone"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Screenshotone. "
        "Help users perform Screenshotone operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['screenshotone'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Screenshotone. Help users perform Screenshotone operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Screenshotone MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Screenshotone.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Screenshotone MCP Agent with another framework

- [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)
- [CrewAI](https://composio.dev/toolkits/screenshotone/framework/crew-ai)

## Related Toolkits

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- [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.
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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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)