# How to integrate Coinmarketcal MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Coinmarketcal MCP with Vercel AI SDK v6",
  "toolkit": "Coinmarketcal",
  "toolkit_slug": "coinmarketcal",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/coinmarketcal/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/coinmarketcal/framework/ai-sdk.md",
  "updated_at": "2026-05-12T10:07:06.937Z"
}
```

## Introduction

This guide walks you through connecting Coinmarketcal to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Coinmarketcal agent that can show upcoming bitcoin-related events this week, list major crypto conferences in june, find new coin launches happening today through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Coinmarketcal account through Composio's Coinmarketcal MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Coinmarketcal with

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

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Coinmarketcal integration
- Using Composio's Tool Router to dynamically load and access Coinmarketcal tools
- Creating an MCP client connection using HTTP transport
- Building an interactive CLI chat interface with conversation history management
- Handling tool calls and results within the Vercel AI SDK framework

## What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.
Key features include:
- streamText: Core function for streaming responses with real-time tool support
- MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
- Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
- OpenAI Provider: Native integration with OpenAI models

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

The Coinmarketcal MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Coinmarketcal account. It provides structured and secure access to the Coinmarketcal crypto events calendar, so your agent can perform actions like fetching upcoming cryptocurrency events, discovering new project launches, and tracking market-impacting announcements on your behalf.
- Fetch upcoming crypto events: Ask your agent to retrieve a list of scheduled events, announcements, or coin releases that could impact the crypto markets.
- Discover project launches and updates: Stay on top of new token launches, hard forks, or upgrade announcements directly from Coinmarketcal’s trusted community-driven calendar.
- Track market-impacting news: Let your agent monitor important developments and milestone events for specific coins or across the entire crypto ecosystem.
- Stay informed on trending events: Quickly surface the most anticipated or discussed crypto events, enabling smarter trading and investment decisions.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `COINMARKETCAL_LIST_COINS` | List Coins | Tool to retrieve list of all available coins/cryptocurrencies in CoinMarketCal database. Use when you need to fetch coin information including IDs, names, symbols, and event counts. |
| `COINMARKETCAL_LIST_EVENT_CATEGORIES` | List Event Categories | Tool to list all event categories. Use when you need to fetch available event categories. |
| `COINMARKETCAL_LIST_EVENTS` | List Cryptocurrency Events | Tool to retrieve list of cryptocurrency events. Use when you need to fetch upcoming or past crypto events filtered by date range, coins, categories, or other criteria. Note: Cannot retrieve events before 25/11/2017. The can_occur_before field is important as some events may happen before their stated date. |

## Supported Triggers

None listed.

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

The Coinmarketcal MCP server is an implementation of the Model Context Protocol that connects your AI agent to Coinmarketcal. It provides structured and secure access so your agent can perform Coinmarketcal 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 you begin, make sure you have:
- Node.js and npm installed
- A Composio account with API key
- An OpenAI API key

### 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 required dependencies

First, install the necessary packages for your project.
What you're installing:
- @ai-sdk/openai: Vercel AI SDK's OpenAI provider
- @ai-sdk/mcp: MCP client for Vercel AI SDK
- @composio/core: Composio SDK for tool integration
- ai: Core Vercel AI SDK
- dotenv: Environment variable management
```bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's needed:
- OPENAI_API_KEY: Your OpenAI API key for GPT model access
- COMPOSIO_API_KEY: Your Composio API key for tool access
- COMPOSIO_USER_ID: A unique identifier for the user session
```bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
```

### 4. Import required modules and validate environment

What's happening:
- We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
- The dotenv/config import automatically loads environment variables
- The MCP client import enables connection to Composio's tool server
```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});
```

### 5. Create Tool Router session and initialize MCP client

What's happening:
- We're creating a Tool Router session that gives your agent access to Coinmarketcal tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned mcp object contains the URL and authentication headers needed to connect to the MCP server
- This session provides access to all Coinmarketcal-related tools through the MCP protocol
```typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["coinmarketcal"],
  });

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

### 6. Connect to MCP server and retrieve tools

What's happening:
- We're creating an MCP client that connects to our Composio Tool Router session via HTTP
- The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
- The type: "http" is important - Composio requires HTTP transport
- tools() retrieves all available Coinmarketcal tools that the agent can use
```typescript
const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();
```

### 7. Initialize conversation and CLI interface

What's happening:
- We initialize an empty messages array to maintain conversation history
- A readline interface is created to accept user input from the command line
- Instructions are displayed to guide the user on how to interact with the agent
```typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to coinmarketcal, like summarize my last 5 emails, send an email, etc... :)))\n",
);

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

rl.prompt();
```

### 8. Handle user input and stream responses with real-time tool feedback

What's happening:
- We use streamText instead of generateText to stream responses in real-time
- toolChoice: "auto" allows the model to decide when to use Coinmarketcal tools
- stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
- onStepFinish callback displays which tools are being used in real-time
- We iterate through the text stream to create a typewriter effect as the agent responds
- The complete response is added to conversation history to maintain context
- Errors are caught and displayed with helpful retry suggestions
```typescript
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;
  }

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

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

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

## Complete Code

```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["coinmarketcal"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to coinmarketcal, like summarize my last 5 emails, send an email, etc... :)))\n",
  );

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

  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;
    }

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

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

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

## Conclusion

You've successfully built a Coinmarketcal agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.
Key features of this implementation:
- Real-time streaming responses for a better user experience with typewriter effect
- Live tool execution feedback showing which tools are being used as the agent works
- Dynamic tool loading through Composio's Tool Router with secure authentication
- Multi-step tool execution with configurable step limits (up to 10 steps)
- Comprehensive error handling for robust agent execution
- Conversation history maintenance for context-aware responses
You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Coinmarketcal MCP Agent with another framework

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

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- [ClickHouse](https://composio.dev/toolkits/clickhouse) - ClickHouse is an open-source, column-oriented database for real-time analytics and big data processing using SQL. Its lightning-fast query performance makes it ideal for handling large datasets and delivering instant insights.
- [Control d](https://composio.dev/toolkits/control_d) - Control d is a customizable DNS filtering and traffic redirection platform. It helps you manage internet access, enforce policies, and monitor usage across devices and networks.
- [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights.
- [Databricks](https://composio.dev/toolkits/databricks) - Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. It empowers data teams to collaborate, analyze, and build scalable solutions efficiently.
- [Datagma](https://composio.dev/toolkits/datagma) - Datagma delivers data intelligence and analytics for business growth and market discovery. Get actionable market insights and track competitors to inform your strategy.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
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- [Fireflies](https://composio.dev/toolkits/fireflies) - Fireflies.ai is an AI-powered meeting assistant that records, transcribes, and analyzes voice conversations. It helps teams capture call notes automatically and search or summarize meetings effortlessly.

## Frequently Asked Questions

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

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

### Can I use Tool Router MCP with Vercel AI SDK v6?

Yes, you can. Vercel AI SDK v6 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 Coinmarketcal tools.

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

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

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