MCP Server with Algorand Integration

This server provides blockchain transaction capabilities for the Algorand network along with general utility tools.

Overview

This MCP server provides the following tools to AI assistants:

General Tools

• echo: Echo back any message (useful for testing connectivity)

• calculate: Perform basic mathematical calculations

• get_current_time: Get the current time in any timezone

Algorand Blockchain Tools

• generate_algorand_account: Generate a new Algorand account with address and mnemonic

• get_account_info: Get account information including balance and assets

• send_payment: Send Algo payment transaction

• create_asset: Create a new Algorand Standard Asset (ASA)

• opt_in_to_asset: Opt into an Algorand Standard Asset

• transfer_asset: Transfer an Algorand Standard Asset

• get_asset_info: Get information about an asset

• get_transaction: Get transaction details by transaction ID

Related MCP server: Algorand MCP Server

Security Features

Mnemonic Phrase Protection

• Encryption: Built-in AES-256-GCM encryption for mnemonic phrases

• Secure Storage: Methods for encrypting/decrypting wallet credentials

• Memory Safety: Sensitive data is handled securely and not logged

Network Configuration

• Testnet Default: Safely defaults to Algorand testnet

• Environment-based: Network configuration through environment variables

• Production Ready: Supports mainnet for production use

Prerequisites

• Node.js 18+

• npm or yarn

• TypeScript

Installation

1. Clone or download this project

2. Install dependencies:

   npm install

3. Copy environment configuration:

   cp .env.example .env

4. Configure your Algorand network in .env (defaults to testnet)

Development

Building the Project

npm run build

Running the Server

npm start

Development Mode

For development with automatic rebuilding:

npm run dev

Configuration

For VSCode

{
  "mcpServers": {
    "algorand-mcp-server": {
      "command": "node",
      "args": ["path/to/your/project/dist/index.js"]
    }
  }
}

For VS Code Debugging

The project includes a .vscode/mcp.json configuration file for debugging within VS Code. You can use this with the MCP extension for VS Code.

Available Tools

echo

• Description: Echo back the provided message

• Parameters:

  • message (string, required): The message to echo back

calculate

• Description: Perform basic mathematical calculations

• Parameters:

  • expression (string, required): Mathematical expression to evaluate

get_current_time

• Description: Get the current time in a specified timezone

• Parameters:

  • timezone (string, optional): Timezone identifier (defaults to UTC)

Project Structure

├── src/
│   └── index.ts          # Main server implementation
├── dist/                 # Compiled JavaScript output
├── .vscode/
│   └── mcp.json         # VS Code MCP configuration
├── .github/
│   └── copilot-instructions.md  # GitHub Copilot instructions
├── package.json          # Node.js package configuration
├── tsconfig.json         # TypeScript configuration
└── README.md            # This file

Development Guide

Adding New Tools

1. Define the tool schema in the TOOLS array

2. Create a Zod schema for input validation

3. Add a case in the CallToolRequestSchema handler

4. Implement the tool logic with proper error handling

Example Tool Implementation

const MyToolArgsSchema = z.object({
  input: z.string(),
});

// Add to TOOLS array
{
  name: 'my_tool',
  description: 'Description of what the tool does',
  inputSchema: {
    type: 'object',
    properties: {
      input: {
        type: 'string',
        description: 'Input parameter description',
      },
    },
    required: ['input'],
  },
}

// Add to request handler
case 'my_tool': {
  const parsed = MyToolArgsSchema.parse(args);
  // Implement tool logic here
  return {
    content: [
      {
        type: 'text',
        text: `Result: ${parsed.input}`,
      },
    ],
  };
}

Security Considerations

• Input validation is performed using Zod schemas

• The calculate tool uses eval() for demonstration purposes only - in production, use a safer math evaluation library

• Always validate and sanitize inputs before processing

Contributing

1. Fork the repository

2. Create a feature branch

3. Implement your changes with proper tests

4. Submit a pull request

License

ISC License - see package.json for details

Resources

• Model Context Protocol Documentation

• MCP SDK Reference