# How to integrate Zenrows MCP with Atomic Agent

```json
{
  "title": "How to integrate Zenrows MCP with Atomic Agent",
  "toolkit": "Zenrows",
  "toolkit_slug": "zenrows",
  "framework": "Atomic Agent",
  "framework_slug": "atomic-agent",
  "url": "https://composio.dev/toolkits/zenrows/framework/atomic-agent",
  "markdown_url": "https://composio.dev/toolkits/zenrows/framework/atomic-agent.md",
  "updated_at": "2026-08-11T13:16:28.871Z"
}
```

## Introduction

Atomic Agent is an open-source AI agent that runs on your machine and supports local models through llama.cpp. Connect it to 1,500+ apps through Composio, including Zenrows.
This guide uses Atomic Agent's built-in Composio integration. You need Atomic Agent v0.5.6 or later, your own Composio API key, and a Zenrows account. See the [Atomic Agent documentation](https://atomicagent.io/docs/?cta_placement=atomic-agent-docs) for installation instructions.

## Also integrate Zenrows with

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

## TL;DR

### How Atomic Agent connects to Zenrows
Atomic Agent connects to Composio's Tool Router over Streamable HTTP MCP. It discovers the tools needed for your request, and Composio handles account authentication.
Execution and account-connection tools follow Atomic Agent's configured approval policy. Review any approval prompt before allowing an action on your connected account.

## Connect Zenrows to Atomic Agent

### Connect Zenrows to Atomic Agent
- Sign up or sign in to the [Composio dashboard](https://dashboard.composio.dev/?cta_placement=atomic-agent-api-key). Copy your API key.
- In Atomic Agent, open the Integrations tab and select Composio. Select API key, press e, paste the key, and press Enter. The tools become available immediately, without a restart.
- Ask Atomic Agent to do something in Zenrows. It searches Composio for the right tool.
- On first use, open the sign-in link returned in the chat. Connect your Zenrows account, then return to Atomic Agent to continue.
### Headless setup
Add the following line to ~/.atomic-agent/.env, replacing YOUR_COMPOSIO_API_KEY with your key. Start Atomic Agent after saving the file.

```bash
COMPOSIO_API_KEY=YOUR_COMPOSIO_API_KEY
```

## What is the Zenrows MCP server, and what's possible with it?

The Zenrows MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Zenrows account. It provides structured and secure access to advanced web scraping capabilities, so your agent can extract structured data, bypass CAPTCHAs, convert pages to PDF, and monitor your API usage on your behalf.
- Intelligent web data extraction: Direct your agent to scrape and extract plain text or structured data from dynamic websites, including specialized real estate property data from platforms like Zillow or Idealista.
- PDF and content generation: Ask your agent to convert any web page into a PDF or retrieve clean, formatted plain text for archiving, documentation, or offline reading.
- Seamless CAPTCHA and block bypassing: Enable your agent to gather data from sites protected by CAPTCHAs or anti-bot systems without manual intervention.
- Real-time API usage monitoring: Have the agent check your account’s current API usage, concurrency status, and limits to help manage credits and avoid interruptions.
- Session and compression management: Instruct your agent to maintain consistent scraping sessions, handle compression to optimize bandwidth, and retrieve detailed response headers for debugging and performance optimization.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ZENROWS_GET_API_USAGE` | Get ZenRows API Usage Statistics | This tool retrieves the current API usage statistics and limits for your ZenRows account. It is an independent action that requires no additional parameters besides authentication. It is useful for monitoring API usage and ensuring that the account has sufficient remaining credits. |
| `ZENROWS_GET_CONCURRENCY_STATUS_DETAILED` | Get Detailed Concurrency Status | This tool provides detailed information about the current concurrency status and limits of your ZenRows account by making a request to the API and analyzing the response headers. It is essential for monitoring real-time API usage, managing concurrent requests, and ensuring optimal performance within plan limits. |
| `ZENROWS_GET_ORIGINAL_STATUS` | Get Original Status Code | This tool retrieves the original HTTP status code returned by the target website, which is useful for debugging purposes. It returns the original status code in the response headers under 'x-zenrows-original-status'. It can also provide the full response body and error messages, helping with debugging scraping issues, verifying website responses, monitoring availability, and understanding website behavior. |
| `ZENROWS_GET_PDF_FROM_URL` | Get PDF from URL | This tool generates a PDF version of the scraped content from a given URL. It requires JavaScript rendering to be enabled and sets the response type to PDF, making it ideal for archiving web pages, creating documentation, generating reports, or saving articles for offline reading. |
| `ZENROWS_GET_PLAINTEXT` | Get Plaintext Response | This tool extracts plain text content from a webpage using the ZenRows API. By using the response_type=plaintext parameter, it strips HTML tags and formats the content into clean, plain text. It's useful for extracting readable content for NLP, summarization, or archiving purposes. |
| `ZENROWS_GET_REAL_ESTATE_DATA` | Get Real Estate Property Data | A specialized tool for extracting structured data from real estate platforms like Zillow and Idealista. It leverages ZenRows' Real Estate API to fetch comprehensive property information, including property details, location information, features, seller details, and more, in a structured format. |
| `ZENROWS_GET_RESPONSE_COMPRESSION` | Get Response with Compression | A tool to fetch content from a URL using the ZenRows API with compression enabled to optimize bandwidth usage and improve performance. It supports gzip, deflate, and br compression encodings, handles decompression automatically, and provides compression statistics along with the decompressed content. |
| `ZENROWS_GET_RESPONSE_HEADERS` | Get response headers | A tool to retrieve and parse response headers from ZenRows API requests. It provides critical metadata such as concurrency limits, available request slots, request cost, unique request ID, and final URL after redirects, which is essential for monitoring usage, debugging, and optimizing requests. |
| `ZENROWS_GET_SESSION_ID` | Get Session ID | This tool implements ZenRows' session management functionality to maintain the same IP address across multiple requests for up to 10 minutes. It supports parameters like url, session_id, and premium_proxy, and is useful for maintaining consistent scraping sessions, simulating real user behavior, and avoiding detection by anti-bot systems. |
| `ZENROWS_GET_WALMART_PRODUCT` | Get Walmart Product Details | This tool allows users to extract detailed product information from Walmart using ZenRows' specialized e-commerce scraping API. It provides structured data for Walmart products including product details, pricing, availability, and more. |
| `ZENROWS_SCRAPE_URL_AUTOPARSE` | Scrape url autoparse | The ZENROWS_SCRAPE_URL_AUTOPARSE tool automatically parses and extracts structured data from any given URL using intelligent parsing capabilities. It eliminates the need for manual CSS selectors by auto-identifying relevant content on web pages, returning data such as titles, main content, meta descriptions, images, links, prices, and contact information in a structured JSON format. |
| `ZENROWS_SCRAPE_URL_HTML` | Scrape URL HTML | This tool extracts raw HTML data from a given URL using ZenRows' Universal Scraper API. It focuses on retrieving the pure HTML content of the webpage without automatic parsing or data extraction. It supports parameters such as js_render for enabling JavaScript rendering, custom_headers for custom HTTP headers, premium_proxy for using premium proxies, and session_id for maintaining the same IP across multiple requests. |
| `ZENROWS_SCRAPE_WITH_CSS_SELECTORS` | Scrape URL with CSS Selectors | This tool allows users to scrape specific elements from a webpage using CSS selectors. It is particularly useful for targeted data extraction rather than retrieving the entire page content. The endpoint takes a URL and a JSON object containing CSS selectors for parsing elements such as titles, links, images, and prices, and includes optional parameters like using premium proxies, specifying response wait times, and custom headers among others. |
| `ZENROWS_SCREENSHOT_URL` | Screenshot URL | A tool to capture screenshots of web pages using ZenRows API. This tool allows you to take screenshots of entire web pages or specific elements, with customizable options for format and quality. |

## Supported Triggers

None listed.

## Troubleshooting

### Why is my API key rejected?

Copy the key directly from the Composio dashboard. Atomic Agent requires ASCII characters because it sends the key in an HTTP header. Remove any extra characters introduced when copying.

### Why are Composio tools unavailable after saving a key?

Check that you use Atomic Agent v0.5.6 or later and that Composio is enabled in your configuration. A "composio": { "enabled": false } setting disables the integration while keeping the saved key on disk.

### Does Composio have a free plan?

The Hobby plan includes 100,000 tool calls per month. Composio-managed OAuth apps have a lower included allowance. See [Composio pricing](/pricing) for the current limits that apply to your connection.

## Complete Code

None listed.

## Conclusion

### Use Zenrows from Atomic Agent
With your account connected, ask Atomic Agent to work with Zenrows in natural language. You can connect more apps through the same Composio integration as you need them.
Visit the [Atomic Agent website](https://atomicagent.io/?cta_placement=atomic-agent-site) or inspect the [Atomic Agent source code](https://github.com/AtomicBot-ai/atomic-agent?cta_placement=atomic-agent-repo).

## How to build Zenrows MCP Agent with another framework

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

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## Frequently Asked Questions

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

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

### Can I use Tool Router MCP with Atomic Agent?

Yes, you can. Atomic Agent 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 Zenrows tools.

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

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

---
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