# How to integrate Adyntel MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Adyntel MCP with OpenAI Agents SDK",
  "toolkit": "Adyntel",
  "toolkit_slug": "adyntel",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/adyntel/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/adyntel/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-10-04T17:16:04.267Z"
}
```

## Introduction

This guide walks you through connecting Adyntel to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Adyntel agent that can find linkedin ads for nike.com, show all google ads for amazon.com, search meta ads for fitness trackers through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Adyntel account through Composio's Adyntel MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Adyntel with

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

## 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 Adyntel
- Configure an AI agent that can use Adyntel as a tool
- Run a live chat session where you can ask the agent to perform Adyntel 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 Adyntel MCP server, and what's possible with it?

The Adyntel MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Adyntel account. It provides structured and secure access to advertising intelligence, so your agent can retrieve company ads, search ad libraries, compare paid and organic keywords, and track Google Shopping searches on your behalf.
- Company ad research: Have your agent retrieve Google, LinkedIn, and Meta ads for a company using its domain or social page.
- Meta ad discovery: Direct your agent to search the Meta ad library for ads relevant to your research.
- TikTok keyword research: Instruct your agent to search the TikTok ad library using keywords tied to a market, product, or campaign.
- Paid and organic keyword analysis: Let the agent compare paid and organic keyword performance for a company domain.
- Google Shopping ad research: Have your agent start a Google Shopping ads search, check its status, and retrieve the available results.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ADYNTEL_GET_GOOGLE_ADS_BY_COMPANY` | Get Google Ads By Company | Retrieve Google ads for a company domain. Returns ad creatives including text, image, and video ads with advertiser information. Response includes a `total_ad_count` field that typically exceeds the count of ads in the returned `ads` array — a single call returns only a partial slice of all available ads. |
| `ADYNTEL_GET_GOOGLE_SHOPPING_SEARCH_STATUS` | Get Google Shopping Search Status | Check the status and retrieve results of a Google Shopping ads search. Use the ID returned from the google_shopping endpoint. No credits charged for status checks. |
| `ADYNTEL_GET_LINKED_IN_ADS_BY_COMPANY` | Get LinkedIn Ads By Company | Retrieve LinkedIn ads for a company by domain or LinkedIn page ID. Returns ad creatives and campaign details. |
| `ADYNTEL_GET_META_ADS_BY_COMPANY_OR_PAGE` | Get Meta Ads By Company Or Page | Retrieve Meta/Facebook ads for a company domain or Facebook page URL. Returns ad creatives, engagement metrics, and campaign details. |
| `ADYNTEL_GET_PAID_VS_ORGANIC_KEYWORDS` | Get Paid Vs Organic Keywords | Analyze paid vs organic keyword performance for a company domain. Returns keyword data comparing paid advertising and organic search performance. |
| `ADYNTEL_META_AD_SEARCH` | Search Meta Ads | Search the Meta ad library. |
| `ADYNTEL_SEARCH_TIK_TOK_ADS_BY_KEYWORD` | Search TikTok Ads By Keyword | Search the TikTok ad library using keywords. Returns matching ads with creative content, engagement metrics, and targeting information. |
| `ADYNTEL_START_GOOGLE_SHOPPING_SEARCH` | Start Google Shopping Search | Start an asynchronous Google Shopping ads search for a company domain. Returns a job ID to check status with the google_shopping_status endpoint. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

- [Metaads](https://composio.dev/toolkits/metaads) - Metaads is Meta's official Ads API that lets you manage, analyze, and optimize your Facebook and Instagram ad campaigns. Streamline ad operations and gain deeper insights with robust automation.
- [Adrapid](https://composio.dev/toolkits/adrapid) - Adrapid is a platform for rapid creation of digital marketing visuals using templates. It streamlines design workflows for banners, images, and HTML5 content with automation.
- [AdRoll](https://composio.dev/toolkits/adroll) - AdRoll is a digital marketing platform for managing advertising campaigns, audiences, and account-based marketing. It helps marketers retarget customers across channels and measure performance.
- [Adtraction](https://composio.dev/toolkits/adtraction) - Adtraction is an affiliate marketing platform for partner programs, tracking links, transactions, commissions, statistics, and payments. It helps advertisers and publishers manage performance marketing with clear reporting and payout workflows.
- [Beaconstac](https://composio.dev/toolkits/beaconstac) - Beaconstac is a platform for creating and managing QR codes and proximity beacons. It helps businesses engage customers and track marketing performance with powerful analytics.
- [Bouncify](https://composio.dev/toolkits/bouncify) - Bouncify is an email verification service for single addresses and bulk lists. Use it to reduce bounces, protect sender reputation, and track verification credits.
- [Bulk Email Checker](https://composio.dev/toolkits/bulk_email_checker) - Bulk Email Checker is an email verification service for checking address validity, mailbox status, domains, and mail-server signals. It helps reduce bounces, spot risky emails, and keep outreach lists cleaner before you send.
- [Campaign cleaner](https://composio.dev/toolkits/campaign_cleaner) - Campaign cleaner is an email campaign optimization tool that boosts compatibility and deliverability across email clients. It helps marketers get better results by cleaning, enhancing, and ensuring high performance for every campaign.
- [Deadline funnel](https://composio.dev/toolkits/deadline_funnel) - Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers.
- [DeBounce](https://composio.dev/toolkits/debounce) - DeBounce is an email verification service for checking address validity, deliverability, and risk. It helps keep contact lists clean so your campaigns reach real inboxes.
- [Easy Email Verification](https://composio.dev/toolkits/easy_email_verification) - Easy Email Verification is an email validation service for checking single addresses and bulk lists. Use it to reduce bounces, clean contact data, and protect sender reputation.
- [Elastic Email](https://composio.dev/toolkits/elastic_email) - Elastic Email is an email delivery and marketing platform for transactional emails, campaigns, contacts, and reporting. Use it to send reliable emails, manage audiences, verify addresses, and track performance.
- [Fairing](https://composio.dev/toolkits/fairing) - Fairing is a post-purchase survey and attribution platform for ecommerce brands. It helps teams measure which marketing channels, campaigns, and customer touchpoints drive purchases.
- [GoDaddy MCP](https://composio.dev/toolkits/godaddy_mcp) - GoDaddy MCP is a domain discovery toolkit for checking availability and generating AI-powered name ideas. Use it to move from rough business keywords to practical domain options fast.
- [Google Ads](https://composio.dev/toolkits/googleads) - Google Ads is Google's online advertising platform for creating, managing, and optimizing digital campaigns. It helps businesses reach targeted customers and maximize return on ad spend.
- [Handwrite.io](https://composio.dev/toolkits/handwrite) - Handwrite.io is a direct mail service for creating physical handwritten card orders. It helps teams send personal cards with selectable handwriting, stationery, and tracking.
- [Inblog](https://composio.dev/toolkits/inblog) - Inblog is an AI-powered blogging platform for posts, authors, tags, redirects, design settings, analytics, and lead forms. Use it to manage SEO-focused content, measure performance, and capture blog leads in one place.
- [Instantly](https://composio.dev/toolkits/instantly) - Instantly is a platform for automating cold email outreach, managing leads, and optimizing deliverability. Get better results from email campaigns with minimal manual effort.
- [Invalid Bounce](https://composio.dev/toolkits/invalid_bounce) - Invalid Bounce is an email verification service with a bulk verification API. Use it to clean email lists, reduce bounces, and protect sender reputation.
- [Keyword](https://composio.dev/toolkits/keyword) - Keyword.com is a digital marketing platform for search rank tracking and SEO analytics. Use it to monitor keyword performance, spot ranking changes, and measure SEO visibility.

## Frequently Asked Questions

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

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

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

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

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