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Monad MCP Tutorial

@muhammadalfat

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

muhammadalfat

关于 Monad MCP Tutorial

暂无概览

#monad#mcp#server#tutorial

Monad MCP Tutorial 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "monad-mcp-tutorial": {
      "command": "npx",
      "args": [
        "tsx",
        "src/server.ts"
      ]
    }
  }
}

Monad MCP Tutorial 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Monad MCP Tutorial?

Monad MCP Tutorial is a demonstration project that shows how to build an MCP (Model Context Protocol) server that interacts with the Monad testnet. It provides a tool for checking MON token balances, enabling MCP clients (such as Claude Desktop) to query the testnet for account balances.

How to use Monad MCP Tutorial?

Install dependencies with npm i, then run the server with npx tsx src/server.ts. To run a client that connects to the server, use npx tsx src/client.ts. No additional configuration keys are mentioned.

Key features of Monad MCP Tutorial

  • Demonstrates creating an MCP server for Monad testnet
  • Provides a tool to check MON token balances
  • Integrates with MCP Client (Claude Desktop)
  • Uses the Model Context Protocol standard
  • Simple setup with npm and TypeScript

Use cases of Monad MCP Tutorial

  • Learning how to build an MCP server for a blockchain testnet
  • Allowing an AI assistant to check MON balances on Monad
  • Prototyping a balance-checking tool for Monad testnet users
  • Showing the integration between MCP clients and external blockchain APIs

常见问题

1

What blockchain network does this server use?

The server interacts with the Monad testnet.

2

What token balance can it check?

It checks MON token balances on the Monad testnet.

3

Which MCP client is demonstrated?

The tutorial uses Claude Desktop as the MCP client.

4

How do I install and run the server?

Run `npm i` to install dependencies, then `npx tsx src/server.ts` to start the server.

5

What is the Model Context Protocol (MCP)?

MCP is a standard that allows AI models to interact with external tools and services.

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