Mindcore

MCP (Model Context Protocol) server for onchain chat, DeFi operations, and AI model integration.

Overview

This library provides a framework for AI-powered chat and DeFi operations (swap, transfer) via MCP-compliant tools. It is designed for seamless integration with AI models and LLM tool providers.

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Features

• AI Chat Agents: Analyst and Trader Copilot powered by OpenAI.
• DeFi Operations: Swap tokens (Uniswap), transfer ETH/ERC20.
• Intent Parsing: Natural language understanding for DeFi actions.
• MCP Tool Manifest: Ready for LLM/AI tool integration.
• Framework Agnostic: Use with Express, Fastify, h3, or any Node.js backend.

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Installation

npm install mindcore-mcp

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Usage

Basic Example

import { createChatHandler, swapHandler, transferHandler } from 'mindcore-mcp';

// Example: Express.js
app.post('/api/chat', createChatHandler());

// Example: Direct function call
const chatResponse = await chatHandler({
  messages: [{ role: 'user', content: 'Swap 1 ETH to USDC' }],
  agentId: 2
});

const swapResponse = await swapHandler({
  from: 'ETH',
  to: 'USDC',
  amount: '1',
  userAddress: '0xYourAddress'
});

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Running the Server

You can run the Mindcore MCP Server as a standalone HTTP server:

npx mindcore-mcp

This will start the server on the default port (3000). You can set a custom port with the PORT environment variable.

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MCP Tools

Tool	Description	Example Use Case
chat	AI-powered chat with intent parsing	"What is the price of ETH?"
swap	Swap tokens via Uniswap	"Swap 1 ETH to USDC"
transfer	Transfer ETH or ERC20 tokens	"Send 10 USDC to 0xabc..."

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Environment Variables

Variable	Description
OPENAI_API_KEY	Your OpenAI API key
RPC_URL	Ethereum RPC URL
UNISWAP_ROUTER_ADDRESS	Uniswap router contract address
WETH_ADDRESS	(Optional) WETH contract address

Copy .env.example to .env and fill in your values.

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Usage with LLM Tools

The Mindcore MCP Server exposes the following MCP-compliant tools for LLMs:

chat

Endpoint: POST /api/chat Input:

{
  "messages": [
    { "role": "user", "content": "Swap 1 ETH to USDC" }
  ],
  "agentId": 2
}

Output:

{
  "reply": "swap_intent",
  "swap": { "amount": "1", "from": "ETH", "to": "USDC" },
  "message": "You want to swap 1 ETH to USDC. Please confirm the swap."
}

swap

Endpoint: POST /api/swap Input:

{
  "from": "ETH",
  "to": "USDC",
  "amount": "1",
  "userAddress": "0xYourAddress"
}

Output: Returns transaction data for the swap.

transfer

Endpoint: POST /api/transfer Input:

{
  "token": "USDC",
  "amount": "10",
  "recipient": "0xRecipientAddress",
  "userAddress": "0xYourAddress"
}

Output: Returns transaction data for the transfer.

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Registering Tools with LLMs

To use these tools with an LLM, add them to your tool manifest or configuration. Example (pseudo-config):

{
  "mcpServers": {
    "mindcore": {
      "command": "npx",
      "args": [
        "mindcore-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your_openai_api_key",
        "RPC_URL": "your_rpc_url",
        "UNISWAP_ROUTER_ADDRESS": "your_router_address"
      }
    }
  }
}

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Prompting Tips:

• Instruct the LLM to use the chat, swap, and transfer tools for onchain actions.
• Provide the tool descriptions and example calls in your LLM's tool registry.

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Development

# Build the package
npm run build

# Run tests (if implemented)
npm test

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License

MIT

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