关于
This project implements an MCP-driven AI infrastructure designed to bridge AI models like Claude and Cursor with real-time, structured knowledge and dynamic tool execution. By leveraging an MCP client-server architecture, the infrastructure facilitates agentic interactions, allowing AI models to dynamically access external data sources (like weather APIs) and invoke custom tools. The goal is to create an adaptive, plugin-like AI system that integrates seamlessly into various host environments and dynamically evolves through tool registration and runtime discoveries.
主要功能
- Supports dynamic agentic interactions.
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- Enables real-time tool execution for AI clients.
- Integrates with AI models like Claude and Cursor.
- Facilitates structured knowledge retrieval.
- Uses an MCP client-server architecture.
使用案例
- Extending AI model capabilities via custom tool execution.
- Building modular, specialized AI agents.
- Connecting AI models to external data sources.
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