spring-boot-ai-mongo-mcp-server

spring-boot-ai-mongo-mcp-server

This is MCP Server Code

# Explanation of the Spring Boot MCP Server Code

This Spring Boot application, named `spring-boot-ai-mongo-mcp-server`, appears to be a Microservice Control Plane (MCP) server designed to interact with a MongoDB database. Let's break down the code structure and functionality based on the provided files.

## Directory Structure

The project follows a standard Maven structure:

shdhumale-spring-boot-ai-mongo-mcp-server/ ├── README.md ├── pom.xml └── src/ └── main/ ├── java/ │ └── com/ │ └── siddhu/ │ ├── SpringBootAiMongoMcpServerApplication.java │ ├── config/ │ │ └── McpServerConfiguration.java │ └── service/ │ └── MCPServerMongoServiceClient.java └── resources/ └── application.properties

-   **`README.md`**: Contains a brief description of the project.
-   **`pom.xml`**: The Maven project object model file, defining project dependencies, build configurations, etc.
-   **`src/main/java/...`**: Contains the Java source code for the application.
    -   **`SpringBootAiMongoMcpServerApplication.java`**: The main entry point for the Spring Boot application.
    -   **`config/McpServerConfiguration.java`**: Likely contains configuration settings for the MCP server.
    -   **`service/MCPServerMongoServiceClient.java`**: Contains the core logic for interacting with the MongoDB database.
-   **`src/main/resources/application.properties`**: Contains application-specific configurations, such as the MongoDB connection URI.

## File Analysis

### `README.md`

This file simply states that the project is the "MCP Server Code".

### `pom.xml`

This is a standard Maven POM file for a Spring Boot application. Key observations:

-   It inherits from the `spring-boot-starter-parent`, indicating it's a Spring Boot project.
-   It specifies the Spring Boot version as `3.4.4`.
-   The `groupId` is `com.bootcamptoprod` and the `artifactId` is `spring-boot-ai-mongo-mcp-server`.
-   It's likely to include dependencies for Spring Boot, MongoDB integration, and potentially Spring AI (given the name). *Note: The full list of dependencies is not provided in the snippet.*

### `src/main/java/com/siddhu/SpringBootAiMongoMcpServerApplication.java`

This file is the main application class. It will likely be annotated with `@SpringBootApplication`, which enables Spring Boot's auto-configuration and component scanning. When run, this class will bootstrap the Spring Boot application.

### `src/main/java/com/siddhu/config/McpServerConfiguration.java`

This class, annotated with `@Configuration`, will contain configuration beans for the MCP server. Based on the `MCPServerMongoServiceClient`, it might configure the `MongoClient` to connect to the MongoDB instance.

### `src/main/java/com/siddhu/service/MCPServerMongoServiceClient.java`

This is the core service class responsible for interacting with MongoDB. It likely uses the Spring Data MongoDB library or the native MongoDB Java driver. The provided snippet shows two key methods:

-   **`listIndexes(String dbName, String collectionName)`**: This method takes a database name and a collection name as input. It connects to the specified database and collection, retrieves the list of indexes defined on that collection, logs the information, and returns the list of index documents. The `@Tool` annotation suggests this method might be exposed as a tool or function within the MCP framework.
-   **`createCollection(String dbName, String collectionName)`**: This method takes a database name and a collection name. It connects to the specified database and creates a new collection with the given name. It logs the action and returns a success message. The `@Tool` annotation also suggests this method is exposed as a tool.

### `src/main/resources/application.properties`

This file contains the application's configuration properties:

-   `spring.application.name=spring-boot-ai-mongo-mcp-server`: Sets the name of the Spring Boot application.
-   `spring.main.banner-mode=off`: Disables the Spring Boot banner that is displayed on startup.
-   `spring.main.web-application-type=none`: Configures the application as a non-web application (no embedded Tomcat or other web server). This makes sense for a backend service like an MCP server.
-   `logging.file.name=./logs/spring-boot-ai-mongo-mcp-server.log`: Configures logging to be written to the specified log file.
-   `logging.pattern.console=`: Likely customizes the console logging pattern (currently empty, so it might be using the default).
-   `spring.ai.mcp.server.name=mongo-mcp-server`: Sets a name for the MCP server within the Spring AI context.
-   `spring.ai.mcp.server.version=0.0.1`: Sets the version of the MCP server.
-   `mongodb.uri=mongodb://${MONGO_HOST}:${MONGO_PORT}`: Defines the connection string for the MongoDB database. It uses environment variables `MONGO_HOST` and `MONGO_PORT` for the host and port, respectively, making the configuration flexible.

## Predicted Output

Since this is a backend service and configured as a non-web application (`spring.main.web-application-type=none`), it won't produce any direct user interface output. The primary output will be in the form of:

1.  **Logs**: Information about the application's startup, MongoDB interactions (listing indexes, creating collections), and any errors will be written to the `./logs/spring-boot-ai-mongo-mcp-server.log` file.
2.  **Return values from the service methods**: The `MCPServerMongoServiceClient` methods (`listIndexes` and `createCollection`) return specific data:
    -   `listIndexes`: Returns a `List<Document>` representing the indexes of a collection. The content of these documents will depend on the indexes defined in the MongoDB collection.
    -   `createCollection`: Returns a `String` indicating the successful creation of a collection, e.g., `"Collection 'myNewCollection' created successfully in database 'myDatabase'."`.



-   **`createCollection("anotherDB", "newCollection")`**: Would return the string:

    ```
    Collection 'newCollection' created successfully in database 'anotherDB'.
    ```

In summary, this Spring Boot application acts as a server to manage MongoDB databases and collections, likely triggered by other components within a larger AI-powered system. Its output is primarily through logs and the return values of its service methods.