Solon Ai MCP Server

What is Solon Ai?

Solon Ai is a Java AI application development framework that integrates LLMs, RAG (Retrieval-Augmented Generation), the MCP (Model Context Protocol), and Agent collaboration (ReAct, Team). It is a core subproject of the Solon project, designed to be a full-scenario framework comparable to LangChain, LangGraph, and LlamaIndex.

How to use Solon Ai?

Add the Solon Ai dependency from Maven Central (org.noear:solon-parent). Use core modules like ChatModel for unified LLM calls, RAG for knowledge base operations, MCP for tool/resource sharing, and Agent for graph-driven reasoning. Configuration can be done programmatically or via YAML (Ai Flow).

Key features of Solon Ai

• Multi-model dialect support (OpenAI, Gemini, Claude, Ollama, DeepSeek, Dashscope)
• Graph-driven agent orchestration with ReAct and Team collaboration
• Deep MCP protocol integration (both server and client)
• Full-link RAG pipeline (Loader, Splitter, Embedding, Reranking)
• Ai Flow low-code YAML orchestration for workflow automation
• Seamless integration with Solon, SpringBoot, Vert.X, and Quarkus ecosystems

Use cases of Solon Ai

• General-purpose autonomous agents (e.g., Manus, OpenOperator)
• Intelligent assistants & RAG knowledge bases (e.g., Dify, Coze)
• Multi-agent collaborative orchestration (e.g., AutoGPT, MetaGPT)
• Business-driven controlled workflows (e.g., AI-enhanced approval systems)
• Intelligent document processing & ETL (e.g., Instabase, Unstructured.io)