What is Mcp Snaptrade

mcp-snaptrade is a demonstration project that integrates an MCP (Model Context Protocol) server with SnapTrade, allowing access to financial account data through Anthropic’s Claude AI.

Use cases

Use cases include building trading bots that leverage AI for decision-making, integrating financial data into AI models for analysis, and creating personalized trading experiences.

How to use

To use mcp-snaptrade, sign up for SnapTrade to obtain a Client ID and Client Secret, register a demo user, and configure the environment variables in the .env file. Finally, set up your Claude Desktop app to load the MCP server.

Key features

Key features include SnapTrade API integration for accessing financial data, MCP server implementation to expose SnapTrade functionalities, and connectivity with Claude AI for enhanced data interaction.

Where to use

mcp-snaptrade can be used in financial technology applications, particularly those that require AI-driven insights and automated trading functionalities.

Demo: MCP Server for SnapTrade Integration with Claude AI

This GitHub repository showcases a demonstration project for integrating an MCP (Model Context Protocol) server with SnapTrade, enabling a connection to Anthropic’s Claude AI. It illustrates how financial account data, accessed via SnapTrade, can be made available to Claude through the MCP framework.

Project Overview:

This proof-of-concept demonstrates a basic pipeline:

• SnapTrade Integration: Connects to SnapTrade’s API to access financial account information.
• MCP Server Implementation: Exposes SnapTrade functionalities and data through the Model Context Protocol.
• Claude Connectivity: Allows Claude, or other MCP-compatible AI models, to interact with the data exposed by the MCP server.

The goal is to provide a simple example of how an MCP server can be built to bridge AI models with third-party APIs like SnapTrade.

Important Setup Instructions

To run this demo, you will need to:

• Sign up for SnapTrade: You must create your own SnapTrade account to obtain a unique Client ID and Client Secret.
• Register a Demo User: Utilize the user registration process available on SnapTrade’s API documentation demo page. This will provide you with the necessary user credentials.
• Configure Environment Variables: Once you have your SnapTrade Client ID, Client Secret, and registered user details, populate these values in the .env file located in the build output folder of this project. See the .env.example file for an example.

You will also need to configure your Claude Desktop app to load the new MCP server, like so:

{
  "mcpServers": {
    "SnapTrade": {
      "command": "/home/username/projects/mcp-snaptrade/bin/cli"
    }
  }
}

Please Note:

• USE AT YOUR OWN RISK
• Demo Purposes Only: This project is intended as a demonstration and a learning tool. It is not designed for production use and may not cover all edge cases or possess robust error handling.
• Personal Project & Likely Unmaintained: This repository is a personal project. As such, it is unlikely to receive regular updates, bug fixes, or active maintenance. Please use it as-is with this understanding.

I hope this example provides a helpful starting point for understanding how MCP servers can facilitate connections between AI models and external data services like SnapTrade!