ai4j MCP Server
LnYo-Cly/ai4j
[](https://agentrank-ai.com/tool/LnYo-Cly--ai4j/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...),unified AI service(image/video/audio...), Tool Calling, MCP, RAG, SKILLS,Agent Runtime, A2A, agent blueprint, agent harness, and a built-in Coding Agent CLI/TUI/ACP.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
LnYo-Cly/ai4j is a HTML A2A agent licensed under Apache-2.0. Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...),unified AI service(image/video/audio...), Tool Calling, MCP, RAG, SKILLS,Agent Runtime, A2A, agent blueprint, agent harness, and a built-in Coding Agent CLI/TUI/ACP. Topics: chatgpt, java, openai, sdk, ollama, deepseek, chatglm, hunyuan, embedding, mcp, agent, coding-agent, rag, runtime, anthropic, dashscope, function-calling, spring-boot, vector-database.
Ranked #115 out of 24849 indexed tools.
In the top 1% of all indexed tools.
Has 10 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
434 stars → growing community
Last commit 5d ago → actively maintained
75/78 issues closed → responsive maintainer
10 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
<p align="center"></p> <p align="center"> <a href="https://search.maven.org/artifact/io.github.lnyo-cly/ai4j"></a> <a href="https://www.apache.org/licenses/LICENSE-2.0.txt"></a> <a href="https://lnyo-cly.github.io/ai4j/"></a> <a href="https://deepwiki.com/LnYo-Cly/ai4j"></a> </p> <p align="center"> </p> # ai4j 面向 **JDK 8+** 的 Java AI Agentic 开发套件：统一接入主流大模型服务，内置从工具调用、RAG、MCP、Skill、沙箱到 Agent 编排与长时任务治理的完整能力，支撑快速构建专属的 Agent 与 Harness 应用。 [English README](README-EN.md) ## 核心优势 - **统一接入 12+ 模型平台**：OpenAI、Anthropic、DeepSeek、智谱、豆包、Ollama 等由同一工厂提供服务；Chat / Responses / Messages 三套协议完整支持，Function Calling、SSE 流式原生具备；Embedding、Rerank、图像/音频/视频/音乐生成、实时对话等十类服务接口按需取用；切换平台仅需修改 `PlatformType`，多组 API Key 可并存并按名称路由。 - **完整的 Agent 编排能力**：ReAct、CodeAct、Deep Research 三种执行模式，StateGraph 图编排支持条件分支与循环，subagent 委派与多智能体团队协作——从简单问答到多步研究型 Agent 均有现成实现。 - **独创 `ai4j-harness` 长时运行 Harness**：使 Agent 从一次性调用转变为可暂停、可恢复、可验收的长期任务（[详见专节](#ai4j-harness把-agent-变成可运维的长期任务)）。 - **内置完整 RAG**：文档加载（可选Read full README on GitHub →
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