# How to integrate Builtwith MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Builtwith MCP with OpenAI Agents SDK",
  "toolkit": "Builtwith",
  "toolkit_slug": "builtwith",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/builtwith/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/builtwith/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:04:33.869Z"
}
```

## Introduction

This guide walks you through connecting Builtwith to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Builtwith agent that can get all websites using shopify in 2024, show historical tech changes for example.com, find online stores selling nike shoes through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Builtwith account through Composio's Builtwith MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Builtwith with

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

The Builtwith MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your BuiltWith account. It provides structured and secure access to web technology profiling and competitive intelligence data, so your agent can perform actions like analyzing website tech stacks, discovering competitor technologies, generating domain lists, and recommending similar sites on your behalf.
- Comprehensive website technology profiling: Instantly analyze the current and historical tech stack of any website, including CMS, analytics, hosting, and more.
- Bulk domain and technology list generation: Have your agent create and export lists of domains using specific technologies, or generate tailored files for large-scale research or outreach.
- Competitor and product discovery: Identify financial, e-commerce, or product data for domains and uncover new market entrants or online retailers selling specific products.
- Technology usage trends and datasets: Query historical datasets to track how specific technologies have been adopted across the internet over time, supporting market research and technology forecasting.
- Intelligent site recommendations: Request suggestions for websites with similar technology profiles to a given domain, helping expand prospecting or research lists with relevant leads.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BUILTWITH_CREATE_DOMAIN_LIST_FILE` | Create Domain List File | Tool to create a TXT or ZIP file from a list of domains. Use when preparing a domain list for bulk or firehose lookups. |
| `BUILTWITH_DATASETS_LOOKUP` | Datasets Lookup | Tool to access mass Internet technology usage information from 2000 to today. Use when you need historical technology usage trends for a domain. |
| `BUILTWITH_DOMAIN_API_LOOKUP` | Domain API Lookup | Tool to retrieve current and historical technology information of a website. Use after confirming the domain to lookup. |
| `BUILTWITH_FINANCIAL_API_LOOKUP` | Financial API Lookup | Tool to fetch financial data for a domain. Use when you need company financials for US or UK registered websites. |
| `BUILTWITH_FREE_API_LOOKUP` | Free API Lookup | Tool to access last updated dates and counts for technology groups and categories for websites. Use when you need a snapshot of technology usage timing for a domain. |
| `BUILTWITH_LISTS_API_GET_LIST` | Lists API Get List | Tool to retrieve a list of websites using a specific technology. Use when you want to find sites leveraging a particular tech. |
| `BUILTWITH_PRODUCT_API_LOOKUP` | Product API Lookup | Tool to find websites selling specific eCommerce products. Use when you need to discover online retailers offering a given product name or query a domain's product listings (e.g., 'dom:jbhifi.com.au'). |
| `BUILTWITH_RECOMMENDATIONS_API_LOOKUP` | Recommendations API Lookup | Tool to generate a list of websites with similar technology profiles. Use when you need technology recommendations for a given domain lookup. |
| `BUILTWITH_REDIRECTS_API_LOOKUP` | Redirects API Lookup | Tool to retrieve live and historical redirects for a website. Use after confirming the exact root domain to gather inbound and outbound redirect timelines. |
| `BUILTWITH_SOCIAL_API_LOOKUP` | Social API Lookup | Tool to retrieve domains associated with social media profile URLs. Use when you need to map social profiles to root domains. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

- [Claude Agent SDK](https://composio.dev/toolkits/builtwith/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/builtwith/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/builtwith/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/builtwith/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/builtwith/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/builtwith/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/builtwith/framework/cli)
- [Google ADK](https://composio.dev/toolkits/builtwith/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/builtwith/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/builtwith/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/builtwith/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/builtwith/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/builtwith/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.
- [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations.
- [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.
- [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 Builtwith MCP?

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

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

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

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