mcp -springboot
A Java Spring Boot backend server for the MCP project. It provides RESTful APIs for handling core functionalities and integrates OpenAI GPT for intelligent processing. Designed for scalability and easy integration with frontend applications.
claude mcp add --transport stdio rakib911hossan-mcp-server-springboot java -jar target/mcp-server-springboot.jar \ --env DB_URL="<database-url>" \ --env DB_USER="<database-username>" \ --env DB_PASSWORD="<database-password>" \ --env MCP_API_BASE_URL="<base-url-for-mcp-api>" \ --env SPRING_PROFILES_ACTIVE="default"
How to use
This MCP server is a Java Spring Boot backend that provides RESTful APIs and the core business logic for the MCP system. After building and starting the server, you can interact with its endpoints to manage MCP resources, trigger workflow actions, and query status and metrics. Typical usage involves sending HTTP requests to the exposed REST endpoints (for example, creating or querying MCP entities, invoking actions, and fetching aggregated data). Authentication, request validation, and error handling are handled by the Spring Boot application, so expect standard HTTP status codes and JSON responses. If the server supports multiple environments, you can switch profiles via environment variables or the SPRING_PROFILES_ACTIVE setting when starting the server.
Common capabilities you can expect include:
- CRUD operations for MCP resources via REST endpoints
- Endpoints for triggering or scheduling MCP-related workflows
- Status and health checks for the service
- Optional integration with a database or external services through configured profiles To access these tools, send HTTP requests to the server’s base URL (for example, http://localhost:8080/api/ or similar), using the documented paths for each resource or action. If authentication is enabled, include the appropriate authorization headers or tokens as required by the API documentation.
How to install
Prerequisites:
- Java 17 or newer (JDK)
- Maven or Gradle for building the project
- Optional: Docker if you prefer containerized runs
Step-by-step installation:
-
Clone the repository: git clone https://github.com/<owner>/mcp-server-springboot.git cd mcp-server-springboot
-
Build the project (Maven): mvn -B -e -DskipTests package
The build produces a JAR, typically under target/
-
Run the server: java -jar target/mcp-server-springboot.jar
The server will start on the default port (usually 8080). Configure via environment variables if needed.
Optional: Run with Spring profiles or environment variables: SPRING_PROFILES_ACTIVE=prod DB_URL=jdbc:postgresql://host/db DB_USER=user DB_PASSWORD=pass java -jar target/mcp-server-springboot.jar
If you prefer Docker:
- Build the image (assuming a Dockerfile is present): docker build -t mcp-server-springboot:latest .
- Run the container: docker run -p 8080:8080 -e SPRING_PROFILES_ACTIVE=prod -e DB_URL=jdbc:postgresql://host/db -e DB_USER=user -e DB_PASSWORD=pass mcp-server-springboot:latest
Additional notes
Notes and tips:
- Ensure JAVA_HOME is set to a compatible JDK installation (Java 17+).
- If you encounter port conflicts, adjust the server port via application properties or environment variable. Common options include server.port.
- For database connectivity, configure the DB_URL, DB_USER, and DB_PASSWORD environment variables or application.properties equivalents.
- If the API requires authentication, obtain a token using the login/auth endpoint and pass it in the Authorization header as a Bearer token.
- Check health and metrics endpoints (e.g., /actuator/health or /actuator/metrics) if actuator endpoints are enabled in your Spring Boot setup.
- Use Java-based logging (Logback/SLF4J) to capture runtime information; adjust log levels via SPRING_PROFILES_ACTIVE or logging.level.* properties.
