# How to integrate Minerstat MCP with Pydantic AI ```json { "title": "How to integrate Minerstat MCP with Pydantic AI", "toolkit": "Minerstat", "toolkit_slug": "minerstat", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/minerstat/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/minerstat/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:19:03.840Z" } ``` ## Introduction This guide walks you through connecting Minerstat to Pydantic 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 Pydantic 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) - [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) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Minerstat - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Minerstat workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## 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: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 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 dependencies Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Minerstat - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Minerstat - MCPServerStreamableHTTP connects to the Minerstat MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session 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 session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Minerstat composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["minerstat"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Minerstat endpoint - The agent uses GPT-5 to interpret user commands and perform Minerstat operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent minerstat_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[minerstat_mcp], instructions=( "You are a Minerstat assistant. Use Minerstat tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Minerstat API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Minerstat.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Minerstat composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["minerstat"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent minerstat_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[minerstat_mcp], instructions=( "You are a Minerstat assistant. Use Minerstat tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Minerstat.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Minerstat through Composio's Tool Router. With this setup, your agent can perform real Minerstat actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Minerstat for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## 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) - [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) ## Related Toolkits - [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. 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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 Pydantic AI? Yes, you can. Pydantic 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)