AnChain.ai Data API & MCP

Model Context Protocol (MCP) server for the AnChain.AI Data API - a comprehensive blockchain intelligence platform powered by AI/ML that enables developers, investigators, and compliance officers to manage risk and ensure regulatory compliance in Web3 applications.

Features

Intelligence APIs

Core risk assessment and entity identification for blockchain addresses and transactions, delivering real-time risk scores, category labels, and suspicious activity detection.

Analytics APIs

Advanced behavioral analysis and transaction flow tracking, including statistical insights, attribution analysis, transaction graphs, automated tracing, and smart contract analysis.

Sanctions APIs

Comprehensive screening against global watchlists, including OFAC and international sanctions databases from multiple jurisdictions (US, EU, UK, Canada, Australia, Switzerland, Israel, Japan, UN, South Africa, and Zambia).

Insights APIs

Curated threat intelligence and industry news aggregation from specialized blockchain and cryptocurrency sources.

Requirements

• Python 3.12 or higher
• uv package manager

Installation

1. Install uv if you haven’t already:

pip install uv

2. Clone this repository:

git clone 
cd anchain-data-mcp

3. Initialize the project and install dependencies:

uv init
uv sync

This will set up the virtual environment and install all required packages from your project configuration.

Configuration

Get Your API Key

Sign up and obtain your AnChain API key at: https://data.anchainai.com

Full API documentation is also available at the same URL.

Configure Claude Desktop

Add the following configuration to your Claude Desktop config file:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "anchain-data": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/anchain-data-mcp",
        "mcp_server.py",
        "--ANCHAIN_APIKEY",
        "your_api_key_here"
      ]
    }
  }
}

Replace /path/to/anchain-data-mcp with the actual path to your project folder and your_api_key_here with your AnChain API key.

Configure Cursor

Add the following to your Cursor MCP settings file mcp.json:

{
  "mcpServers": {
    "anchain-data": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/anchain-data-mcp",
        "mcp_server.py",
        "--ANCHAIN_APIKEY",
        "your_api_key_here"
      ]
    }
  }
}

Configure Other MCP-Compatible Platforms

For other AI platforms that support the Model Context Protocol (such as Zed, Sourcegraph Cody, or custom integrations), add a similar configuration to their MCP settings file:

{
  "mcpServers": {
    "anchain-data": {
      "command": "uv",
      "args": [