chenlinyang/alg-mcp
🔌 MCP Serverchenlinyang
A Java-based MCP server enabling intelligent data querying through a dual-engine RAG and MCP architecture.
alg-mcp is a specialized MCP server implementation written in Java, designed to bridge the gap between large language models and complex data retrieval tasks. The project utilizes a dual-engine architecture that combines the contextual depth of RAG with the standardized communication capabilities of the Model Context Protocol. This allows developers to expose internal data services as tools that LLMs can invoke dynamically. Key features include efficient query processing, modular integration for RAG workflows, and native Java support, which is often underserved in the current Python-heavy AI ecosystem. By standardizing how models request and process data, alg-mcp simplifies the creation of intelligent agents capable of performing complex SQL-like queries or document lookups with high precision.
💡Highlights
- ├─Java-native MCP server implementation
- ├─Dual-engine RAG+MCP architecture
- └─Optimized for intelligent querying
🎯For
- ├─Java Developers
- ├─AI Engineers
- └─Backend Architects