# How to integrate Open sea MCP with LangChain

```json
{
  "title": "How to integrate Open sea MCP with LangChain",
  "toolkit": "Open sea",
  "toolkit_slug": "open_sea",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/open_sea/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/open_sea/framework/langchain.md",
  "updated_at": "2026-05-12T10:20:45.461Z"
}
```

## Introduction

This guide walks you through connecting Open sea to LangChain using the Composio tool router. By the end, you'll have a working Open sea agent that can list your nft for sale on opensea, show all active listings in bored ape collection, create an offer for a specific cryptopunk through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Open sea account through Composio's Open sea MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Open sea with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Open sea project to Composio
- Create a Tool Router MCP session for Open sea
- Initialize an MCP client and retrieve Open sea tools
- Build a LangChain agent that can interact with Open sea
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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

The Open sea MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your OpenSea account. It provides structured and secure access to your NFT marketplace activity, so your agent can perform actions like listing NFTs for sale, creating and fulfilling offers, checking account details, and managing your marketplace orders on your behalf.
- NFT listing automation: Quickly list any ERC721 or ERC1155 NFT for sale on OpenSea, specifying price and collection details—all handled by your agent.
- Offer creation and management: Instruct your agent to create criteria-based or single-item offers to purchase specific NFTs or those matching certain traits within a collection.
- Order and listing fulfillment: Let your agent retrieve all necessary information and signatures to fulfill existing listings or offers, making transactions seamless and secure.
- Marketplace activity insights: Have the agent pull your profile details, fetch all active listings or offers for a given collection, and provide you with up-to-date marketplace snapshots.
- Order cancellation and management: Direct your agent to cancel open orders, listings, or offers off-chain, helping you stay in control of your marketplace participation with ease.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `OPEN_SEA_BUILD_CRITERIA_OFFER` | Build criteria offer | Build a portion of a criteria offer including the merkle tree needed to post an offer. |
| `OPEN_SEA_CANCEL_ORDER` | Cancel order | Offchain cancel a single order, offer or listing, by its order hash when protected by the SignedZone. Protocol and Chain are required to prevent hash collisions. Please note cancellation is only assured if a fulfillment signature was not vended prior to cancellation. |
| `OPEN_SEA_CREATE_CRITERIA_OFFER` | Create criteria offer | Create a criteria offer to purchase any NFT in a collection or which matches the specified trait. |
| `OPEN_SEA_CREATE_ITEM_OFFER` | Create item offer | Create an offer to purchase a single NFT (ERC721 or ERC1155). |
| `OPEN_SEA_CREATE_LISTING` | Create listing | List a single NFT (ERC721 or ERC1155) for sale on the OpenSea marketplace. |
| `OPEN_SEA_FULFILL_LISTING` | Fulfill listing | Retrieve all the information, including signatures, needed to fulfill a listing directly onchain. |
| `OPEN_SEA_FULFILL_OFFER` | Fulfill offer | Retrieve all the information, including signatures, needed to fulfill an offer directly onchain. |
| `OPEN_SEA_GET_ACCOUNT` | Get account | Get an OpenSea Account Profile including details such as bio, social media usernames, and profile image. |
| `OPEN_SEA_GET_ALL_LISTINGS_BY_COLLECTION` | Get all listings by collection | Get all active, valid listings for a single collection. |
| `OPEN_SEA_GET_ALL_OFFERS_BY_COLLECTION` | Get all offers by collection | Get all active, valid offers for the specified collection. This includes individual and criteria offers. |
| `OPEN_SEA_GET_BEST_LISTING_BY_NFT` | Get best listing by nft | Get the best listing for an NFT. |
| `OPEN_SEA_GET_BEST_LISTINGS_BY_COLLECTION` | Get best listings by collection | Get the cheapest priced active, valid listings on a single collection. |
| `OPEN_SEA_GET_BEST_OFFER_BY_NFT` | Get best offer by nft | Get the best offers for an NFT. |
| `OPEN_SEA_GET_COLLECTION` | Get collection | Get a single collection including details such as fees, traits, and links. |
| `OPEN_SEA_GET_COLLECTIONS` | Get collections | Get a list of OpenSea collections with optional filtering and pagination. |
| `OPEN_SEA_GET_COLLECTION_STATS` | Get collection stats | Get stats for a single collection on OpenSea. |
| `OPEN_SEA_GET_CONTRACT` | Get contract | Get a smart contract for a given chain and address. |
| `OPEN_SEA_GET_EVENTS` | Get events | Get a list of events from OpenSea based on various filters like timestamps and event types. |
| `OPEN_SEA_GET_LISTINGS` | Get listings | Get the complete set of active, valid listings. |
| `OPEN_SEA_GET_NFT` | Get nft | Get metadata, traits, ownership information, and rarity for a single NFT. |
| `OPEN_SEA_GET_ORDER` | Get order | Get a single order, offer or listing, by its order hash. Protocol and Chain are required to prevent hash collisions. |
| `OPEN_SEA_GET_PAYMENT_TOKEN` | Get payment token | Get a smart contract for a given chain and address. |
| `OPEN_SEA_GET_TRAITS` | Get traits | Get the traits in a collection. |
| `OPEN_SEA_REFRESH_NFT_METADATA` | Refresh nft metadata | Refresh metadata for a single NFT. |

## Supported Triggers

None listed.

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

The Open sea MCP server is an implementation of the Model Context Protocol that connects your AI agent to Open sea. It provides structured and secure access so your agent can perform Open sea 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

No description provided.

### 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).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Open sea tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Open sea tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Open sea tools as needed
```python
# Create Tool Router session for Open sea
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['open_sea']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['open_sea']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "open_sea-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "open_sea-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Open sea related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Open sea related question or task to the agent.\n");

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

rl.prompt();

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

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

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

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['open_sea']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "open_sea-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Open sea related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['open_sea']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "open_sea-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Open sea related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Open sea through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Open sea MCP Agent with another framework

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

## Related Toolkits

- [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation.
- [Asin data api](https://composio.dev/toolkits/asin_data_api) - Asin data api gives you detailed, real-time product data from Amazon, including price, rank, and reviews. Perfect for e-commerce pros and data-driven marketers who need instant marketplace insights.
- [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations.
- [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making.
- [Btcpay server](https://composio.dev/toolkits/btcpay_server) - BTCPay Server is a free, open-source, self-hosted Bitcoin payment processor. It lets merchants accept Bitcoin payments directly, cutting out middlemen and boosting privacy.
- [Cdr platform](https://composio.dev/toolkits/cdr_platform) - Cdr platform is an API for purchasing carbon dioxide removal services. It enables businesses to offset emissions by accessing verified carbon removal projects.
- [Cloudcart](https://composio.dev/toolkits/cloudcart) - CloudCart is an e-commerce platform for building and managing online stores. It helps businesses streamline product listings, orders, and customer engagement.
- [Countdown api](https://composio.dev/toolkits/countdown_api) - Countdown API gives you real-time, structured eBay product data, reviews, and seller feedback. Perfect for powering price monitoring, product research, or marketplace analytics workflows.
- [Dpd2](https://composio.dev/toolkits/dpd2) - Dpd2 is a robust email management platform for handling, sorting, and automating email workflows. Streamline your communications and boost productivity with advanced sorting, labeling, and response tools.
- [Finerworks](https://composio.dev/toolkits/finerworks) - FinerWorks is an online platform for fine art and photo printing services. Artists and photographers use it to order custom prints and manage print inventory efficiently.
- [Fingertip](https://composio.dev/toolkits/fingertip) - Fingertip is a business management platform for selling, booking, and customer engagement—all from a single link. It helps businesses streamline operations and connect with customers across social channels.
- [Fraudlabs pro](https://composio.dev/toolkits/fraudlabs_pro) - FraudLabs Pro is an online payment fraud detection service for e-commerce and merchants. It helps minimize chargebacks and revenue loss by detecting and preventing fraudulent transactions.
- [Gift up](https://composio.dev/toolkits/gift_up) - Gift Up! is a digital platform for selling, managing, and redeeming gift cards online. It streamlines promotions and gift card transactions for businesses and their customers.
- [Goody](https://composio.dev/toolkits/goody) - Goody is a gifting platform that lets users send gifts and physical products without handling logistics. It streamlines gifting by managing delivery, fulfillment, and recipient experience.
- [Gumroad](https://composio.dev/toolkits/gumroad) - Gumroad is a platform for selling digital products, physical goods, and memberships with a simple checkout and marketing tools. It streamlines creator payouts and helps you grow your audience effortlessly.
- [Instacart](https://composio.dev/toolkits/instacart) - Instacart is an online grocery delivery and pickup service platform. It lets you discover local retailers and create shoppable lists and recipes with ease.
- [Junglescout](https://composio.dev/toolkits/junglescout) - Junglescout is an Amazon product research and analytics platform for sellers. It delivers sales estimates, competitive insights, and optimization tools to boost your Amazon business.
- [Ko fi](https://composio.dev/toolkits/ko_fi) - Ko-fi is a platform that lets creators receive donations, memberships, and sales from fans. It helps creators monetize their work and grow their audience with minimal friction.
- [Lemon squeezy](https://composio.dev/toolkits/lemon_squeezy) - Lemon Squeezy is a payments and subscription platform built for software companies. It makes managing payments, taxes, and customer subscriptions effortless.
- [Loyverse](https://composio.dev/toolkits/loyverse) - Loyverse is a point-of-sale (POS) platform for small businesses, offering tools for sales, inventory, and customer loyalty. It helps streamline retail operations and boost customer engagement.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Open sea MCP?

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

### Can I use Tool Router MCP with LangChain?

Yes, you can. LangChain 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 Open sea tools.

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

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

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