Exposes local file system capabilities to AI agents for CRUD operations using the Model Context Protocol.
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This application demonstrates how to build a Model Context Protocol (MCP) Server using the Embabel Framework and Spring Boot. It provides AI agents with access to local file system capabilities, enabling them to perform Create, Read, Edit, and Delete (CRUD) operations on files. Utilizing Embabel's `@Export` annotation, Java methods are transformed into accessible AI tools, facilitating real-time communication with agents via an SSE (Server-Sent Events) transport layer.
Key Features
01Model Context Protocol (MCP) implementation with Embabel and Spring Boot
02Real-time agent communication via SSE (Server-Sent Events) transport layer
03Tool exposure for AI agents using Embabel's `@Export` annotation
04Comprehensive file system operations (Create, Read, Edit, Delete)
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Use Cases
01Enable AI agents to create and modify local text files based on user prompts
02Allow AI-driven automation of file management tasks on a local machine
03Provide AI agents with the ability to read and analyze local document content
