Java AI（智能体） 全场景应用开发框架（LLM，Function Call，RAG，Embedding，Reranking，Flow，MCP Server，Mcp Client，Mcp Proxy）。同时兼容 java8 ~ java25。也可嵌入到 SpringBoot2、jFinal、Vert.x 等框架中使用。。支持 MCP_2025_06_18（mcp streamable）

MCP to LangChain Tools Conversion Utility / Python

Simple MCP Client CLI Implementation Using LangChain ReAct Agent / TypeScript

MCP Tools Usage From LangChain ReAct Agent / Example in TypeScript

Simple MCP Client CLI Implementation Using LangChain ReAct Agent / Python

MCP Tools Usage From LangChain ReAct Agent / Example in Python

Enable any LLM to call tool in gpt format. Development based on Qwen2. If it cannot adapt to your LLM, your Pull Request is wanted.

The purpose of this project was to test agentic tool calling based on the task assignment. This code will serve as a basis for an AI helper to take tasks and interact with the users contact list.