How to integrate Coinmarketcap MCP with LangChain

This guide walks you through connecting Coinmarketcap to LangChain using the Composio tool router. By the end, you'll have a working Coinmarketcap agent that can show top 10 cryptocurrencies by market cap, fetch latest bitcoin and ethereum prices, list all exchanges with highest daily volume through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Coinmarketcap account through Composio's Coinmarketcap MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Coinmarketcap logoCoinmarketcap
Api Key

Coinmarketcap is a leading cryptocurrency data platform offering real-time and historical market data on digital coins and exchanges. It empowers users to track prices, volumes, and trends for smarter crypto decisions.

9 Tools

Introduction

This guide walks you through connecting Coinmarketcap to LangChain using the Composio tool router. By the end, you'll have a working Coinmarketcap agent that can show top 10 cryptocurrencies by market cap, fetch latest bitcoin and ethereum prices, list all exchanges with highest daily volume through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Coinmarketcap account through Composio's Coinmarketcap MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Coinmarketcap with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Coinmarketcap project to Composio
  • Create a Tool Router MCP session for Coinmarketcap
  • Initialize an MCP client and retrieve Coinmarketcap tools
  • Build a LangChain agent that can interact with Coinmarketcap
  • 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 Coinmarketcap MCP server, and what's possible with it?

The Coinmarketcap MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Coinmarketcap account. It provides structured and secure access to live and historical cryptocurrency market data, so your agent can perform actions like fetching crypto prices, mapping coins and exchanges, analyzing global trends, and retrieving detailed asset info on your behalf.

  • Real-time cryptocurrency price tracking: Instantly get the latest market quotes for any supported cryptocurrency, including price, volume, and market cap.
  • Comprehensive asset and exchange mapping: Retrieve and reference unique IDs, symbols, and names for all cryptocurrencies and exchanges to power portfolio and trading automations.
  • Historical listings and data analysis: Access historical exchange listings and past market snapshots to inform investment research or backtesting strategies.
  • Global market metrics aggregation: Let your agent pull up-to-date, aggregated market data like total market cap, trading volume, and dominance statistics for macro analysis.
  • Detailed asset and exchange metadata retrieval: Fetch rich metadata, including logos, descriptions, launch dates, and official links for any crypto asset or exchange—perfect for building dashboards or research tools.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

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

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

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

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
5

Import dependencies

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();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Coinmarketcap functionality through MCP
6

Initialize Composio client

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()
    });
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 Coinmarketcap tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

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

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Coinmarketcap 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 Coinmarketcap tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "coinmarketcap-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 });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Coinmarketcap MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Coinmarketcap tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Coinmarketcap 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);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Coinmarketcap and LangChain:

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: ['coinmarketcap']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "coinmarketcap-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 Coinmarketcap 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 Coinmarketcap 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.
TOOLS

Supported Tools

Every Coinmarketcap action and event your agent gets out of the box.

Cryptocurrency Listings Latest

Fetch the latest cryptocurrency market listings from CoinMarketCap.

Cryptocurrency Map

Tool to retrieve a mapping of all cryptocurrencies, including their unique IDs, symbols, and names.

Get Latest Cryptocurrency Quotes

Tool to get the latest aggregated global market quotes for one or more cryptocurrencies.

Get cryptocurrency info

Tool to fetch metadata (description, logo, URLs) for one or more cryptocurrencies.

Get exchange info

Tool to get detailed metadata for one or more exchanges.

Get API Key Info

Tool to retrieve your CoinMarketCap API key details, rate limits, and usage statistics.

Global Metrics Quotes Latest

Tool to obtain the latest global cryptocurrency market metrics (market cap, volume, dominance).

Partner Map

Tool to retrieve a mapping of all CoinMarketCap partners with their unique IDs, names, and slugs.

Price Conversion

Tool to convert an amount from one cryptocurrency or fiat currency into another.

FAQ

Frequently asked questions

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

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 Coinmarketcap tools.

Yes, absolutely. You can configure which Coinmarketcap 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.

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 Coinmarketcap data and credentials are handled as safely as possible.

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