Agentipy MCP

The Agentipy MCP Server is a model context protocol server designed for Claude Desktop, which enables AI agents to interact with the Solana blockchain through standardized interfaces, providing a rich set of blockchain tool functions, including balance query, transaction execution, price prediction, and cross - chain bridging.

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downloads : 8.6K

update time : 2025-04-30

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What is the Agentipy MCP Server?

The Agentipy MCP Server is a tool based on the Model Context Protocol (MCP) that allows Claude AI to interact with the Solana blockchain. It offers various functions, such as account management, transaction execution, price prediction, and cross - chain bridging.

How to use the Agentipy MCP Server?

You need to install the necessary dependencies and configure environment variables first, and then add the server through Claude Desktop. Once the configuration is complete, you can directly call the corresponding APIs in Claude.

Applicable Scenarios

Suitable for application developers who want to use blockchain technology to develop smart contracts, execute transactions, or obtain real - time market data.

Main Features

Get Wallet Balance

Check the current balance of the specified wallet.

Deploy New Token

Deploy a new ERC - 20 token on the Solana network.

Get Price Prediction

Generate future price trend predictions based on historical data.

Advantages

Supports multiple blockchain operations, simplifying the development process.

Provides standardized interfaces for easy integration into existing systems.

Supports cross - chain bridging, expanding application scenarios.

Limitations

Requires a certain amount of blockchain knowledge for efficient use.

Higher hardware configuration may be required for large - scale transactions.

How to Use

Install Dependencies

Ensure that Python 3.8 or a higher version is installed, and install the required dependency packages via pip.

Configure Environment Variables

Create a.env file and fill in your private key, RPC URL, and API key.

Start the Server

Run the run_mcp.sh script (Linux/Mac) or the run_mcp.bat file (Windows) to start the server.

Usage Examples

Query Wallet Balance

Demonstrate how to get the current balance of a wallet.

Cross - Chain Asset Transfer

Show how to use deBridge to achieve cross - chain asset transfer.

Frequently Asked Questions

How to install the Agentipy MCP Server?

Can it support other blockchain platforms?

Related Resources

Official Documentation

Detailed installation and usage instructions.

Claude Desktop

An AI desktop client that integrates the Agentipy MCP Server.

🚀 Solana Blockchain MCP Proxy Server for Claude Desktop

This is a Solana blockchain proxy server built on agentipy, specifically designed for Claude Desktop. The server supports multiple functions, including interacting with the Solana blockchain, obtaining price predictions using the Allora API, staking and trading via Jupiter, achieving cross - chain bridging with deBridge, and fetching market data from Pyth and CoinGecko.

🚀 Quick Start

Initialize the proxy server in the main.py file:

from agentipy import AgentipyServer

if __name__ == '__main__':
    server = AgentipyServer()
    server.start()

✨ Features

1. Native Solana Operations

GET_BALANCE: Check the wallet balance.
TRANSFER: Transfer tokens across wallets.
DEPLOY_TOKEN: Deploy a new Solana token.

2. Allora Integration

GET_PRICE_PREDICTION: Get price prediction data from Allora.
GET_ALL_TOPICS: Get a list of all available topics.

3. Jupiter Protocol Support

STAKE_WITH_JUP: Perform staking operations using Jupiter.
TRADE_WITH_JUP: Execute token trades using Jupiter.

4. DeBridge Cross - Chain Bridging

CREATE_DEBRIDGE_TRANSACTION: Create a DeBridge cross - chain transaction.
EXECUTE_DEBRIDGE_TRANSACTION: Execute a DeBridge cross - chain transaction.
CHECK_TRANSACTION_STATUS: Check the status of a DeBridge transaction.

5. Pyth Market Price Data

PYTH_GET_PRICE: Get token price information from the Pyth network.

6. CoinGecko Market Data Analysis

COINGECKO_GET_TOKEN_INFO: Get detailed token information on the CoinGecko platform.
COINGECKO_GET_COIN_PRICE_VS: Query price data for specific currency pairs.
COINGECKO_GET_TOP_GAINERS: Get a list of the top - gaining tokens.
COINGECKO_GET_TRENDING_POOLS: Get information on current popular liquidity pools.
COINGECKO_GET_TRENDING_TOKENS: Get a list of trending tokens.
COINGECKO_GET_TOKEN_PRICE_DATA: Get historical price data for a specific token.
COINGECKO_GET_LATEST_POOLS: Get information on the latest liquidity pools.

📦 Installation

First, install Python.
Install the dependencies using the following command:

pip install agentipy python-dotenv mcp requests solana

🔧 Technical Details

Project Structure

.
├── README.md          # Project documentation
├── requirements.txt  # List of dependencies
└── main.py            # Entry file for the proxy server

📄 License

This project is open - sourced under the MIT License.

⚠️ Important Note

Protect your private keys to avoid any form of leakage.

Use environment variables to store sensitive information (e.g., private keys, API keys).

Test all functions on the test network before actual operations.

Regularly audit the operation logs and transaction records of the AI agent.