# How to integrate Minerstat MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Minerstat MCP with Vercel AI SDK v6",
  "toolkit": "Minerstat",
  "toolkit_slug": "minerstat",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/minerstat/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/minerstat/framework/ai-sdk.md",
  "updated_at": "2026-09-24T11:16:15.549Z"
}
```

## Introduction

This guide walks you through connecting Minerstat to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Minerstat agent that can check current hashrate for your mining rigs, list all active workers and their statuses, get daily mining revenue summary through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Minerstat account through Composio's Minerstat MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Minerstat with

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

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Minerstat integration
- Using Composio's Tool Router to dynamically load and access Minerstat 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 Minerstat MCP server, and what's possible with it?

The Minerstat MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Minerstat account. It provides structured and secure access to your mining operations, so your agent can monitor hardware, analyze mining performance, manage pools, track coins, and optimize rigs automatically on your behalf.
- Real-time hardware monitoring: Check the status, temperature, hash rates, and health of your mining rigs and GPUs at any time.
- Pool and coin management: Switch mining pools or update coin settings so your operations are always optimized for profitability.
- Performance analytics and alerts: Get detailed reports on mining efficiency, power usage, and receive alerts for downtime or abnormal activity.
- Remote rig management: Start, stop, or restart specific rigs remotely, making troubleshooting and maintenance a breeze.
- Wallet and payment tracking: Track earnings, payouts, and wallet addresses across coins and pools for seamless accounting and auditing.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MINERSTAT_GET_COINS_DATA` | Get Coins Data | Retrieves mining coin data from minerstat API including hashrates, difficulty, rewards, and prices. Use this tool to get current mining statistics for cryptocurrencies. You can filter results by specific coin tickers (e.g., 'BTC,ETH') or by mining algorithms (e.g., 'SHA-256,Ethash'). Returns data such as network hashrate, difficulty, estimated mining rewards, current price, and trading volume for each coin. Note: `difficulty` and network hashrate fields may be null for some coins; validate their presence before using in calculations. |
| `MINERSTAT_GET_HARDWARE_DATA` | Get Hardware Data | Retrieve mining hardware data from minerstat including hashrates, power consumption, and specifications. Use this tool to get benchmark data for GPUs and ASIC miners to compare mining performance across different hardware. Filter by type (gpu/asic) or brand to narrow results. Combine both filters together to avoid mixed variants with differing hashrate and power draw values. |
| `MINERSTAT_GET_POOLS_DATA` | Get Pools Data | Retrieve mining pool data from minerstat. Requires an authenticated minerstat connection. Returns a list of mining pools with their supported coins, fees, payout thresholds, and other details. Use to discover pools for a specific coin or explore all available mining pools. |
| `MINERSTAT_GET_WORKER_ACTIVITY` | Get Worker Activity | Retrieve activity logs for a specific worker for the last 3 days. Returns online/offline events, errors, and other activity for troubleshooting worker uptime issues or auditing worker behavior. The API key is automatically extracted from the Authorization header. |
| `MINERSTAT_GET_WORKER_DATA` | Get Worker Data | Retrieve detailed real-time data for a specific mining worker. This tool fetches comprehensive information about a worker including: - Current status (online/offline/idle) - Hardware info (GPUs/ASICs with temperatures, fans, power) - Mining info (coin, pool, client software) - Hashrate data (current hashrates for main/dual/CPU mining) - Share statistics (accepted, rejected, stale) - Revenue estimates Use this when you need detailed metrics for a specific worker. The worker name must exactly match a worker configured in the minerstat dashboard. Returns found=False if the worker doesn't exist. |

## Supported Triggers

None listed.

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

The Minerstat MCP server is an implementation of the Model Context Protocol that connects your AI agent to Minerstat. It provides structured and secure access so your agent can perform Minerstat 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 Minerstat 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 Minerstat-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: ["minerstat"],
  });

  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 Minerstat 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 minerstat, 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 Minerstat 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: ["minerstat"],
  });

  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 minerstat, 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 Minerstat 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 Minerstat MCP Agent with another framework

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

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- [Audioscrape MCP](https://composio.dev/toolkits/audioscrape_mcp) - Audioscrape MCP lets agents search and retrieve speaker-attributed audio, transcripts, entities, and citations from public and workspace content. Use it to surface searchable, speaker-labeled audio and rich metadata for research, meetings, and content discovery.
- [Baremetrics](https://composio.dev/toolkits/baremetrics) - Baremetrics is a subscription analytics platform for recurring-revenue businesses. It helps teams track MRR, churn, customers, and revenue trends in one place.
- [Bing Webmaster Tools](https://composio.dev/toolkits/bing_webmaster_tools) - Bing Webmaster Tools is Microsoft's search console for site performance, crawling, indexing, URL submission, and verified site management. It helps site owners understand Bing Search visibility and fix issues that affect organic traffic.
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- [Bright Data MCP](https://composio.dev/toolkits/brightdata_mcp) - Bright Data MCP is an AI-powered web scraping and data collection platform. Instantly access public web data in real time with advanced scraping tools.
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- [BSC Designer](https://composio.dev/toolkits/bsc_designer) - BSC Designer is a strategy execution platform for balanced scorecards, KPIs, dashboards, and strategy maps. It helps teams turn goals into measurable performance plans they can track over time.
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- [Chartly](https://composio.dev/toolkits/chartly) - Chartly renders Chart.js configurations as PNG or SVG images and creates permanent chart URLs for sharing and embedding. Share and embed charts easily with stable image URLs and downloadable vector graphics.

## Frequently Asked Questions

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

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

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

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

---
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