@tiangong lca/mcp server
The TianGong LCA MCP Server enables AI assistants to access and utilize the Model Context Protocol (MCP) for managing and integrating machine learning models. It provides a standardized interface for loading, configuring, and executing MCP-compatible models, allowing AI systems to seamlessly incorporate a variety of machine learning capabilities into their applications.
Installation Instructions
Get started with @tiangong lca/mcp server in your project
Install via npm
npm install @tiangong-lca/mcp-serverOr with yarn
yarn add @tiangong-lca/mcp-serverRelated Servers
@heroku/mcp server
The @heroku/mcp-server is a platform server that enables AI assistants like Claude to integrate with Heroku's Metrics and Correlation Protocol (MCP) service. It provides a standardized way for AI applications to access and analyze performance metrics and data from Heroku-hosted applications, allowing developers to build more robust and data-driven AI systems.
@cap js/mcp server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
@dynatrace oss/dynatrace
Model Context Protocol (MCP) server for Dynatrace