spring-boot-ai-mongo-mcp-server
The spring-boot-ai-mongo-mcp-server is a server application built using Spring Boot that integrates AI functionalities with a MongoDB backend. It efficiently handles data processing and deployment of machine learning models through seamless database interactions. This application is particularly beneficial for AI-related projects, offering rapid development and scalability.
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Mongo MCP Server
This project is a Mongo MCP Server built with Spring Boot AI. It is designed to interact with a local MongoDB instance and expose various database operations as callable tools. The server can be tested using any MCP client, including the Claude desktop app.
For a detailed explanation on how to build an MCP server, check out our blog:
Build MCP Servers with Spring Boot AI: A Beginner’s Guide
Features
- MongoDB Integration: Connects to a local MongoDB instance to perform various operations.
- Callable Tools: Exposes methods using the
@Toolannotation, making them accessible as services. - Tool Registration: Uses
ToolCallbackProviderto register and expose the available functionalities. - Testable with MCP Clients: Easily test the server using any MCP client, including the Claude desktop app.
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The mcp-declarative-java-sdk is an SDK that allows developers to easily build MCP servers using Java annotations. It eliminates the need for the Spring framework and can set up a server in just one line of code, freeing developers from complex JSON schema definitions. It also includes built-in multi-language support, enabling developers to focus on their core logic.