Spring AI Examples
Provides example implementations for Spring AI's Model Context Protocol, demonstrating interaction with various databases.
About
Explore the capabilities of Spring AI's Model Context Protocol (MCP) through this comprehensive example project, showcasing how to build both MCP client and server applications. This tool demonstrates seamless integration with popular databases like MongoDB and PostgreSQL, allowing for dynamic data retrieval based on natural language queries, powered by the OpenAI API. It serves as an invaluable resource for developers looking to implement advanced AI-driven data interactions within their Spring Boot applications.
Key Features
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- Implements Spring AI Model Context Protocol (MCP)
- Integrates with MongoDB for AI-driven data queries
- Provides distinct MCP client and server components
- Connects with PostgreSQL for AI-driven data queries
- Utilizes OpenAI API for language model interactions
Use Cases
- Learning and understanding Spring AI's Model Context Protocol
- Developing applications that leverage AI for database interaction
- Prototyping natural language query interfaces for structured and unstructured data