# How to integrate Scrapingant MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Scrapingant MCP with OpenAI Agents SDK",
  "toolkit": "Scrapingant",
  "toolkit_slug": "scrapingant",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/scrapingant/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/scrapingant/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:24:50.976Z"
}
```

## Introduction

This guide walks you through connecting Scrapingant to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Scrapingant agent that can extract product prices from amazon search page, convert a blog post to markdown format, get api usage stats for your account through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Scrapingant account through Composio's Scrapingant MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Scrapingant with

- [Claude Agent SDK](https://composio.dev/toolkits/scrapingant/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/scrapingant/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/scrapingant/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/scrapingant/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/scrapingant/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/scrapingant/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/scrapingant/framework/cli)
- [Google ADK](https://composio.dev/toolkits/scrapingant/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/scrapingant/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/scrapingant/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/scrapingant/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/scrapingant/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/scrapingant/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 Scrapingant
- Configure an AI agent that can use Scrapingant as a tool
- Run a live chat session where you can ask the agent to perform Scrapingant 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 Scrapingant MCP server, and what's possible with it?

The Scrapingant MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Scrapingant account. It provides structured and secure access to powerful web scraping tools, so your agent can extract web data, render dynamic pages, convert content to markdown, and monitor API usage on your behalf.
- AI-powered data extraction: Direct your agent to pull structured data from web pages using custom AI queries—ideal for capturing tables, lists, prices, or other key information.
- Dynamic web page scraping: Scrape complex sites with JavaScript rendering, proxy rotation, and support for cookies or browser emulation to handle modern web content.
- Content conversion to markdown: Have your agent extract and convert page content into markdown format for clean, ready-to-use text in downstream applications or LLM pipelines.
- Extended scraping with rich JSON output: Fetch detailed responses including raw HTML, headers, cookies, and other metadata to support advanced automation and analysis tasks.
- API credit monitoring: Let your agent check and report on your current Scrapingant API credit usage, helping you manage quotas and avoid interruptions.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SCRAPINGANT_EXTRACT_CONTENT_AS_MARKDOWN` | Extract Content as Markdown | This tool extracts content from a given URL and converts it into Markdown format. It is particularly useful for preparing text for Language Learning Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. It supports GET, POST, PUT, and DELETE methods. |
| `SCRAPINGANT_EXTRACT_DATA_WITH_AI` | Extract Data with AI | This tool allows you to extract structured data from a web page using ScrapingAnt's AI-powered extraction capabilities. You provide a URL and an AI query (prompt) describing what data you want to extract, and the tool returns the extracted data in a structured format. It supports additional parameters for browser rendering, proxies, and cookies to handle dynamic content and localization. |
| `SCRAPINGANT_GET_API_CREDITS_USAGE` | Get API Credits Usage | This tool retrieves the current API credit usage status for the authenticated ScrapingAnt account. It enables users to monitor their consumption of API credits, check their current usage against the subscription limits, and manage their API credits effectively. |
| `SCRAPINGANT_SCRAPE_WEB_PAGE` | Scrape Web Page | This tool scrapes a web page using the ScrapingAnt API. It fetches the HTML content of the specified URL. Users can customize the scraping behavior by enabling a headless browser, using proxies, waiting for specific elements, executing JavaScript, passing cookies, and blocking certain resources. |
| `SCRAPINGANT_SCRAPE_WEBPAGE_POST` | Scrape Webpage via POST | Tool to perform a POST request through ScrapingAnt's proxy to scrape a webpage. Use when you need to scrape pages that require POST method, such as form submissions or APIs that only accept POST requests. Data is forwarded transparently to the target web page. |
| `SCRAPINGANT_SCRAPE_WEBPAGE_PUT` | Scrape Webpage with PUT | Tool to perform a PUT request through ScrapingAnt's proxy to scrape a webpage that requires PUT method. Use when the target webpage requires PUT method for data submission. Data is forwarded transparently to the target web page. |
| `SCRAPINGANT_SCRAPE_WITH_EXTENDED_JSON_OUTPUT` | Scrape with Extended JSON Output | Scrapes a web page and returns comprehensive data including HTML content, plain text, cookies, HTTP headers, XHR/Fetch requests, and iframe content. This tool uses ScrapingAnt's extended endpoint which provides much richer data than standard scraping: - Full HTML and extracted plain text content - All cookies and HTTP response headers from the target page - Captured XHR/Fetch API requests made by the page (useful for finding hidden APIs) - Content from embedded iframes Best used when you need more than just the HTML - such as analyzing cookies, headers, or JavaScript API calls made by a page. For simple HTML scraping, consider using the basic scrape tool instead for lower API credit usage. |

## Supported Triggers

None listed.

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

The Scrapingant MCP server is an implementation of the Model Context Protocol that connects your AI agent to Scrapingant. It provides structured and secure access so your agent can perform Scrapingant 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 Scrapingant 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 Scrapingant.
```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 scrapingant.
- The router checks the user's Scrapingant connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Scrapingant.
- This approach keeps things lightweight and lets the agent request Scrapingant tools only when needed during the conversation.
```python
# Create a Scrapingant Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["scrapingant"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Scrapingant
const session = await composio.create(userId as string, {
  toolkits: ['scrapingant'],
});
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 Scrapingant. "
        "Help users perform Scrapingant 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 Scrapingant. Help users perform Scrapingant 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=["scrapingant"]
)
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 Scrapingant. "
        "Help users perform Scrapingant 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: ['scrapingant'],
  });
  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 Scrapingant. Help users perform Scrapingant 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 Scrapingant MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Scrapingant.
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 Scrapingant MCP Agent with another framework

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

## Related Toolkits

- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.
- [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Scrapingant MCP?

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

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

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

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