# How to integrate Minerstat MCP with Mastra AI

```json
{
  "title": "How to integrate Minerstat MCP with Mastra AI",
  "toolkit": "Minerstat",
  "toolkit_slug": "minerstat",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/minerstat/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/minerstat/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:19:03.840Z"
}
```

## Introduction

This guide walks you through connecting Minerstat to Mastra AI 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 Mastra AI 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

- [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)
- [Claude Code](https://composio.dev/toolkits/minerstat/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/minerstat/framework/claude-cowork)
- [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)
- [CLI](https://composio.dev/toolkits/minerstat/framework/cli)
- [Google ADK](https://composio.dev/toolkits/minerstat/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/minerstat/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/minerstat/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/minerstat/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/minerstat/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Set up your environment so Mastra, OpenAI, and Composio work together
- Create a Tool Router session in Composio that exposes Minerstat tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Minerstat tool definitions and attach them as a toolset
- Build a Mastra agent that can reason, call tools, and return structured results
- Run an interactive CLI where you can chat with your Minerstat agent

## What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.
Key features include:
- MCP Client: Built-in support for Model Context Protocol servers
- Toolsets: Organize tools into logical groups
- Step Callbacks: Monitor and debug agent execution
- OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

## 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 starting, make sure you have:
- Node.js 18 or higher
- A Composio account with an active API key
- An OpenAI API key
- Basic familiarity with TypeScript

### 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 need credits or a connected billing setup to use the models.
- Store the key somewhere safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Minerstat through MCP.

### 2. Install dependencies

Install the required packages.
What's happening:
- @composio/core is the Composio SDK for creating MCP sessions
- @mastra/core provides the Agent class
- @mastra/mcp is Mastra's MCP client
- @ai-sdk/openai is the model wrapper for OpenAI
- dotenv loads environment variables from .env
```bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai 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
- COMPOSIO_USER_ID tells Composio which user this session belongs to
- OPENAI_API_KEY lets the Mastra agent call OpenAI models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

What's happening:
- dotenv/config auto loads your .env so process.env.* is available
- openai gives you a Mastra compatible model wrapper
- Agent is the Mastra agent that will call tools and produce answers
- MCPClient connects Mastra to your Composio MCP server
- Composio is used to create a Tool Router session
```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

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

if (!openaiAPIKey) 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 as string,
});
```

### 5. Create a Tool Router session for Minerstat

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "minerstat" for Minerstat access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["minerstat"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Minerstat MCP URL:", composioMCPUrl);
```

### 6. Configure Mastra MCP client and fetch tools

What's happening:
- MCPClient takes an id for this client and a list of MCP servers
- The headers property includes the x-api-key for authentication
- getTools fetches the tool definitions exposed by the Minerstat toolkit
```typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
```

### 7. Create the Mastra agent

What's happening:
- Agent is the core Mastra agent
- name is just an identifier for logging and debugging
- instructions guide the agent to use tools instead of only answering in natural language
- model uses openai("gpt-5") to configure the underlying LLM
```typescript
const agent = new Agent({
    name: "minerstat-mastra-agent",
    instructions: "You are an AI agent with Minerstat tools via Composio.",
    model: "openai/gpt-5",
  });
```

### 8. Set up interactive chat interface

What's happening:
- messages keeps the full conversation history in Mastra's expected format
- agent.generate runs the agent with conversation history and Minerstat toolsets
- maxSteps limits how many tool calls the agent can take in a single run
- onStepFinish is a hook that prints intermediate steps for debugging
```typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\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({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        minerstat: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    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 { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

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

if (!openaiAPIKey) 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 as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["minerstat"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      minerstat: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "minerstat-mastra-agent",
    instructions: "You are an AI agent with Minerstat tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

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

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { minerstat: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();
```

## Conclusion

You've built a Mastra AI agent that can interact with Minerstat through Composio's Tool Router.
You can extend this further by:
- Adding other toolkits like Gmail, Slack, or GitHub
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows

## How to build Minerstat MCP Agent with another framework

- [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)
- [Claude Code](https://composio.dev/toolkits/minerstat/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/minerstat/framework/claude-cowork)
- [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)
- [CLI](https://composio.dev/toolkits/minerstat/framework/cli)
- [Google ADK](https://composio.dev/toolkits/minerstat/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/minerstat/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/minerstat/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/minerstat/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/minerstat/framework/crew-ai)

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- [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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- [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business.
- [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets.

## 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 Mastra AI?

Yes, you can. Mastra AI 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.

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