mcp

AI Network MCP Server is a TypeScript implementation of MCP(Model Context Protocol) server for interacting with AI Network blockchain.

IMPORTANT: This project is currently under active development. Features may be incomplete, and there might be significant changes in future updates. Please be aware that some functionalities may not work as expected or might change without prior notice.

This project enables AI Agents to connect with the AI Network blockchain ecosystem. Through this integration, AI Agents can:

• Manage accounts on the AI Network blockchain
• Generate and submit transactions to the blockchain
• Read values from the blockchain database
• Register themselves as Hyper Agents
• Receive staking through the Hyper Agent Protocol
• Access the Layer 2 DAG-based shared agent memory system based on staking status

The framework serves as a bridge between autonomous AI systems and blockchain infrastructure, allowing agents to leverage decentralized capabilities while maintaining their autonomy.

1. Clone the repository:

git clone https://github.com/ainblockchain/mcp.git

2. Install dependencies:

cd mcp
yarn install

3. Build the project:

yarn build

Add the following to your claude_desktop_config.json.

{
  "mcpServers": {
    "ainetwork": {
      "command": "node",
      "args": ["<path to dist/index.js>"],
      "env": [
        "PROVIDER_URL": "<>",
        "EVENT_HANDLER_URL": "<>",
        "CHAIN_ID": "<>",
        "AIN_PRIVATE_KEY": "<>"
      ]
    }
  }
}

If PROVIDER_URL, EVENT_HANDLER_URL, and CHAIN_ID are not set, it will connect to the AI Network testnet by default.

If AIN_PRIVATE_KEY is not entered, only read/get operations can be performed. The private key can be generated through the AIN Wallet, and it is also compatible with Ethereum private keys.

If you experience errors with the Claude desktop app, it may be referencing an outdated Node version. Explicitly specify the path to a higher version Node binary on your claude_desktop_config.json file.

Example:

{
  "mcpServers": {
    "ainetwork": {
      "command": "<path to node binary>",
      ...
    }
  }
}