How to integrate Coinmarketcap MCP with CrewAI

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Introduction

This guide walks you through connecting Coinmarketcap to CrewAI 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, get historical listings for binance on 2023-01-01 through natural language commands.

This guide will help you understand how to give your CrewAI 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.

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Coinmarketcap connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Coinmarketcap
  • Build a conversational loop where your agent can execute Coinmarketcap operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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.

Supported Tools & Triggers

Tools
Exchange Listings HistoricalTool to retrieve historical exchange listings for a specified date.
Cryptocurrency Listings LatestTool to fetch the latest active cryptocurrency listings with their current market data.
Cryptocurrency MapTool to retrieve a mapping of all cryptocurrencies, including their unique IDs, symbols, and names.
Get Latest Cryptocurrency QuotesTool to get the latest market quotes for one or more cryptocurrencies.
Exchange MapTool to retrieve a mapping of all cryptocurrency exchanges.
Get cryptocurrency infoTool to fetch metadata (description, logo, URLs) for one or more cryptocurrencies.
Get exchange infoTool to get detailed metadata for one or more exchanges.
Get API Key InfoTool to retrieve your CoinMarketCap API key details, rate limits, and usage statistics.
Global Metrics Quotes LatestTool to obtain the latest global cryptocurrency market metrics (market cap, volume, dominance).
Partner MapTool to retrieve a mapping of all CoinMarketCap partners with their unique IDs, names, and slugs.
Price ConversionTool to convert an amount from one cryptocurrency or fiat currency into another.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Coinmarketcap connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python

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.

Install dependencies

bash
pip install composio crewai crewai-tools python-dotenv
What's happening:
  • composio connects your agent to Coinmarketcap via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools includes MCP helpers
  • python-dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional import if you plan to adapt tools
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Coinmarketcap MCP URL

Create a Composio Tool Router session for Coinmarketcap

python
composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
session = composio.create(
    user_id=os.getenv("USER_ID"),
    toolkits=["coinmarketcap"],
)
url = session.mcp.url
What's happening:
  • You create a Coinmarketcap only session through Composio
  • Composio returns an MCP HTTP URL that exposes Coinmarketcap tools

Configure the LLM

python
llm = LLM(
    model="gpt-5-mini",
    api_key=os.getenv("OPENAI_API_KEY"),
)
What's happening:
  • CrewAI will call this LLM for planning and responses
  • You can swap in a different model if needed

Attach the MCP server and create the agent

python
toolkit_agent = Agent(
    role="Coinmarketcap Assistant",
    goal="Help users interact with Coinmarketcap through natural language commands",
    backstory=(
        "You are an expert assistant with access to Coinmarketcap tools. "
        "You can perform various Coinmarketcap operations on behalf of the user."
    ),
    mcps=[
        MCPServerHTTP(
            url=url,
            streamable=True,
            cache_tools_list=True,
            headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
        ),
    ],
    llm=llm,
    verbose=True,
    max_iter=10,
)
What's happening:
  • MCPServerHTTP connects the agent to the Coinmarketcap MCP endpoint
  • cache_tools_list saves a tools catalog for faster subsequent runs
  • verbose helps you see what the agent is doing

Add a REPL loop with Task and Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to perform Coinmarketcap operations.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Based on the conversation history:\n{conversation_context}\n\n"
            f"Current user request: {user_input}\n\n"
            f"Please help the user with their Coinmarketcap related request."
        ),
        expected_output="A helpful response addressing the user's request",
        agent=toolkit_agent,
    )

    crew = Crew(
        agents=[toolkit_agent],
        tasks=[task],
        verbose=False,
    )

    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's happening:
  • You build a simple chat loop and keep a running context
  • Each user turn becomes a Task handled by the same agent
  • Crew executes the task and returns a response

Run the application

python
if __name__ == "__main__":
    main()
What's happening:
  • Standard Python entry point so you can run python crewai_coinmarketcap_agent.py

Complete Code

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

python
# file: crewai_coinmarketcap_agent.py
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()

def main():
    # Initialize Composio and create a Coinmarketcap session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["coinmarketcap"],
    )
    url = session.mcp.url

    # Configure LLM
    llm = LLM(
        model="gpt-5-mini",
        api_key=os.getenv("OPENAI_API_KEY"),
    )

    # Create Coinmarketcap assistant agent
    toolkit_agent = Agent(
        role="Coinmarketcap Assistant",
        goal="Help users interact with Coinmarketcap through natural language commands",
        backstory=(
            "You are an expert assistant with access to Coinmarketcap tools. "
            "You can perform various Coinmarketcap operations on behalf of the user."
        ),
        mcps=[
            MCPServerHTTP(
                url=url,
                streamable=True,
                cache_tools_list=True,
                headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
            ),
        ],
        llm=llm,
        verbose=True,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Try asking the agent to perform Coinmarketcap operations.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Based on the conversation history:\n{conversation_context}\n\n"
                f"Current user request: {user_input}\n\n"
                f"Please help the user with their Coinmarketcap related request."
            ),
            expected_output="A helpful response addressing the user's request",
            agent=toolkit_agent,
        )

        crew = Crew(
            agents=[toolkit_agent],
            tasks=[task],
            verbose=False,
        )

        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

if __name__ == "__main__":
    main()

Conclusion

You now have a CrewAI agent connected to Coinmarketcap through Composio's Tool Router. The agent can perform Coinmarketcap operations through natural language commands. Next steps:
  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations

How to build Coinmarketcap MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Coinmarketcap MCP?

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.

Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI 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.

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

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.

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 Coinmarketcap data and credentials are handled as safely as possible.

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