jayessdeesea/mcp-server-factory
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A Java-based Model Context Protocol (MCP) server designed to help understand and build other MCP servers.
The MCP Server Factory is a Java-based server designed to facilitate the understanding and construction of Model Context Protocol (MCP) servers. It serves as both a learning tool and a guide, focusing on the core components of MCP such as tools, resources, and prompts. The project provides templates and best practices for building MCP servers, emphasizing simplicity, reusability, and maintainability. The server is built using Java with the Spring Framework, log4j2 for logging, and Maven for build management. It adheres to design principles like KISS, DRY, YAGNI, and SOLID, ensuring a clean and efficient codebase. The project structure is well-organized, with a clear separation of concerns and comprehensive documentation. It includes a variety of tools and resources to aid in the development and deployment of MCP servers.
Features
- Tools Section: Includes tools like 'explain_concept' for detailed explanations of MCP concepts and various task planner tools for generating task plans.
- Resources Section: Provides documentation on MCP topics through resources like 'mcp://factory/documentation/{topic}'.
- Prompts Section: Offers a 'tool_implementation_guide' for step-by-step implementation of MCP tools in different languages.
Usages
usage with java
java # Run the server java -jar target/mcp-server-factory-1.0-SNAPSHOT-jar-with-dependencies.jar
usage with maven
bash # Build the project mvn clean package # Run the tests mvn test
Tools
explain_concept
Provides detailed explanations of MCP concepts (tool, resource, prompt, server, client).
code_cleanup_planner
Generates a task plan for code cleanup objectives.
feature_implementation_planner
Generates a task plan for feature implementation objectives.
general_task_planner
Generates a task plan for general objectives.
local_mcp_deployment_planner
Generates a task plan for deploying local MCP servers with critical clean and test steps that abort deployment on failure.
