Asset Price MCP Server: Revolutionizing Asset Price Retrieval

In the rapidly evolving landscape of asset management and financial technology, staying updated with real-time asset pricing is crucial for informed decision-making. The Asset Price MCP Server, a Model Context Protocol server, is designed to bridge this gap by providing seamless access to current asset price information. This server is particularly valuable for large language models (LLMs) and AI agents that require up-to-date data to function effectively.

Key Features

• Real-Time Data Access: The Asset Price MCP Server allows users to fetch real-time price information for a variety of assets, including precious metals and cryptocurrencies. This feature is essential for businesses and individuals who need to make timely investment decisions.

• Seamless Integration: Designed to integrate effortlessly with AI models, this server acts as a conduit, enabling these models to access and display asset price data without manual intervention.

• Early Development with Continuous Improvement: Although the Asset Price MCP Server is currently in its early development phase, it is continuously being updated and improved. This ensures that users always have access to the latest tools and functionalities.

• Cross-Platform Compatibility: Whether you’re using MacOS, Linux, or Windows, the Asset Price MCP Server is designed to be compatible across platforms, making it accessible to a wide range of users.

• Open Source and Customizable: Licensed under the MIT License, users have the freedom to use, modify, and distribute the server according to their needs, fostering innovation and customization.

Use Cases

1. Financial Institutions: Banks and investment firms can leverage the Asset Price MCP Server to provide clients with real-time asset valuations, enhancing transparency and trust.

2. Cryptocurrency Exchanges: By integrating the server, exchanges can offer up-to-the-minute pricing data, ensuring traders have the information they need to execute trades effectively.

3. AI-Driven Investment Platforms: Platforms that utilize AI for investment advice can integrate the server to provide accurate and timely recommendations to their users.

4. Educational Institutions: Universities and research institutions can use the server to teach students about real-time data analysis and financial modeling.

Getting Started

To get started with the Asset Price MCP Server, users can configure it using various code editors and AI clients. Installation is straightforward, with detailed instructions available for different operating systems:

Installing via Smithery

Users can install the server for Claude Desktop automatically via Smithery, a popular tool for managing MCP servers:

npx -y @smithery/cli install @mk965/asset-price-mcp --client claude

Configuration for MacOS/Linux

{
  "mcpServers": {
    "Asset Price MCP": {
      "command": "npx",
      "args": ["-y", "asset-price-mcp"]
    }
  }
}

Configuration for Windows

{
  "mcpServers": {
    "Asset Price MCP": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "asset-price-mcp"]
    }
  }
}

Building and Testing

For developers looking to build or test the server, the following commands are available:

• Building: npm run build
• Testing: npm test

About UBOS Platform

UBOS is a full-stack AI Agent Development Platform focused on integrating AI agents across various business departments. By orchestrating AI agents and connecting them with enterprise data, UBOS enables businesses to build custom AI solutions tailored to their specific needs. The platform supports the development of multi-agent systems, enhancing the capabilities of AI models like the Asset Price MCP Server.

In conclusion, the Asset Price MCP Server is a powerful tool for accessing real-time asset pricing, making it indispensable for financial institutions, investment platforms, and educational entities. Its seamless integration capabilities, coupled with the innovative UBOS platform, position it as a leader in the realm of AI-driven asset management.