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AI Context Server

navneetprabhakarbynavneetprabhakar
•
Data Science & ML
API Development
Developer Tools

Implements the Model Context Protocol using Spring AI to manage AI-driven context and provide utility services.

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This Spring Boot application implements the Model Context Protocol (MCP) leveraging Spring AI to provide a robust server for managing AI-driven contexts. It offers both a RESTful API for standard utilities, such as retrieving current time details, and an MCP server endpoint exposing specific tools like `fetch_current_time`. The server is highly extensible, designed to allow developers to easily integrate additional AI capabilities, custom services, and utility endpoints, forming a versatile backend for MCP clients.

Key Features

01MCP server implementation using Spring AI
02Built with Java 21 and Spring Boot 3.5.10
03Lombok for reduced boilerplate code
040 GitHub stars
05Provides REST API for current time utilities
06Easily extensible for additional AI or utility endpoints

Use Cases

01Exposing custom time-related utilities via a standardized MCP endpoint
02Building a foundation for AI-driven context management services
03Developing extensible backend services consumable by MCP clients