⛓️ Block MCP Server

A Model Context Protocol (MCP) server for Blockchain interactions. This server enables AI agents to interact with multiple blockchain networks, check financial data, and send real-time notifications to Telegram.

🛠️ Tools Included

1. 💰 Wallet Balance Checker: Retrieves native token balances for any wallet address across Ethereum, Polygon, Arbitrum, Optimism, and Base simultaneously using public RPC nodes.

2. 📜 Frax Transactions: Fetches the 5 latest transactions on the FRAX network, including both native transfers and ERC-20 token events.

3. ⛽ Gas Price Estimator: Provides real-time gas fee estimates (in Gwei) across multiple blockchain networks to help determine transaction costs.

4. 💱 Crypto Converter: Converts cryptocurrency and fiat values using real-time market rates (e.g., BTC to ETH or USDC to USD).

5. 🤖 Telegram Bot: Programmatically posts updates, messages, or automated notifications to a specific Telegram chat or channel.

⚙️ Setup Instructions

Prerequisites

• Python 3.11+

• uv

1. Environment Variables

Create a .env file in the root directory and populate it with your credentials:

2. Installation

1. Clone the repository:

   git clone <YOUR_REPO_URL_HERE> cd <YOUR_REPO_NAME>

2. Install dependencies: This project uses uv for fast dependency management.

   make install

🚀 How to Run

The easiest way to test the tools is using the built-in Makefile command, which launches the MCP Inspector.

Alternatively: uv run fastmcp dev main.py

📖 Usage & Examples

Below are example inputs for testing the tools in the MCP Inspector.

1. Wallet Balance Checker Tool (wallet_check)

Queries multiple public RPC endpoints to retrieve native balances across various chains.

• Input:

  { "address": "0x..." }

• Response:

  { "Ethereum": "1.2450 ETH", "Arbitrum": "0.0000 ETH", "Polygon": "150.3200 MATIC", "Optimism": "0.0500 ETH", "Base": "0.1200 ETH" }

2. Frax Transaction History (get_frax_transactions)

Merges native and token transfer history from the Fraxscan API, sorted by timestamp.

• Input:

  { "address": "0x4200000000000000000000000000000000000015" }

• Response:

  [ { "time": "2026-01-30 18:00:00", "amount": "0.5000 frxETH", "token": "frxETH", "type": "Native", "hash": "0x..." } ]

3. Gas Price Estimator (get_gas_prices)

Monitors real-time gas prices (in Gwei) to estimate transaction costs.

• Input:

  {}

• Response:

  { "Ethereum": "🔴 45.2 Gwei", "Base": "🟢 0.01 Gwei" }

4. Crypto Converter (convert_crypto)

Converts time between timezones.

• Input:

  { "amount": 1, "from_coin": "bitcoin", "to_coin": "ripple" }

• Response:

  { "Response": "1 BITCOIN = 1235999999.0 XRP (Rate: 95000)" }

5. Telegram Bot (send_telegram_message)

This tool allows the AI to send notifications to your phone via Telegram.

🔄 How the Flow Works (Sending Messages)

1. User Trigger: You give Claude a condition or a direct command (e.g., "If ETH is below $2000, alert me").

2. Decision: Claude evaluates the condition. If true, it decides to call send_telegram_message.

3. Execution: The MCP server receives the text payload and makes an HTTP POST request to the Telegram Bot API.

4. Confirmation: The Telegram API confirms the delivery, and the MCP server reports back to Claude that the task is done.

📝 Implementation Details

• Input:

• Response:

🤖 Agent Mode (Auto-Pilot)

This mode enables the AI to automatically check for new messages and respond to them in a continuous loop, while also performing other operations in between.

Prompt to Initiate:

How the Loop Works:

1. Check: The AI polls the Telegram API for incoming messages.

2. Process: It reads the content of any new user messages (e.g., a user asking "What is the price of BTC?").

3. Action: It uses other available tools (like convert_crypto) to find the answer.

4. Reply: It sends the answer back to the user via Telegram and waits for the next cycle.