MCP Server (Python)
Chapter 1: Introduction to MCP Protocol Fundamentals
Learning Objectives:
- Understand the basic concepts and design philosophy of MCP protocol
- Master the architecture and core components of MCP protocol
- Learn the differences and advantages between MCP and traditional APIs
- Familiarize with MCP application scenarios and ecosystem
Brief Description: Introduces the core concepts of Model Context Protocol, understand why this protocol is needed, and its important role in AI application development.
Chapter 2: Development Environment Setup
Learning Objectives:
- Install and configure Node.js development environment
- Understand MCP SDK and related tools
- Set up your first MCP Server project
- Configure development debugging tools and test environment
- Understand the basic project structure of MCP Server
Brief Description: Establish a complete MCP Server development environment, create your first “Hello World” project, and lay a solid foundation for subsequent learning.
Chapter 3: Detailed Explanation of MCP Protocol Specifications
Learning Objectives:
- Deeply understand the message format of MCP protocol
- Master request-response pattern and event streams
- Learn protocol version control and compatibility
- Understand error handling and exception scenarios
- Master protocol extension mechanisms
Brief Description: Learn the technical specifications of MCP protocol in detail, understand message passing mechanisms and data formats.
Chapter 4: Tools Development
Learning Objectives:
- Understand the concept and mechanism of Tools
- Learn to define tool schemas and parameters
- Master tool execution and result returns
- Implement common tool types (file operations, network requests, etc.)
- Learn tool error handling and validation
Brief Description: Learn one of the most important functions in MCP Server - tool development, enabling AI to perform various operational tasks.
Chapter 5: Resources Management
Learning Objectives:
- Understand the concept and purpose of Resources
- Learn to create and manage various resource types
- Master resource reading, updating, and listening mechanisms
- Implement resource providers such as file systems and databases
- Learn resource permissions and security control
Brief Description: Learn how to provide various types of resources and data sources to AI models, achieving dynamic content access.
Chapter 6: Prompts Template System
Learning Objectives:
- Understand the role and design principles of Prompts
- Learn to create reusable prompt templates
- Master parameterized prompt implementation
- Learn prompt version management and optimization
- Implement dynamic prompt generation systems
Brief Description: Master the development of prompt template systems, providing structured and reusable prompt templates for AI models.
Chapter 7: Server Configuration and Lifecycle
Learning Objectives:
- Master MCP Server initialization and configuration
- Learn connection establishment and handshake process
- Understand Server lifecycle management
- Master graceful shutdown and resource cleanup
- Learn Server monitoring and health checks
Brief Description: Deeply understand the operating mechanism of MCP Server, master complete lifecycle management.
Chapter 8: Error Handling and Logging System
Learning Objectives:
- Establish comprehensive error handling mechanisms
- Implement structured logging system
- Master exception capture and recovery strategies
- Learn error codes and error message specifications
- Implement debugging and diagnostic functions
Brief Description: Build robust error handling and logging systems to improve Server stability and maintainability.
Chapter 9: Security and Access Control
Learning Objectives:
- Understand MCP’s security model and threat protection
- Implement authentication and authorization mechanisms
- Master resource access control
- Learn input validation and data sanitization
- Implement security auditing and monitoring
Brief Description: Establish comprehensive security protection systems to ensure secure and reliable operation of MCP Server.
Chapter 10: Performance Optimization and Scalability
Learning Objectives:
- Analyze and optimize Server performance bottlenecks
- Implement caching and resource pool management
- Master concurrent processing and asynchronous programming
- Learn memory management and garbage collection optimization
- Design scalable architecture patterns
Brief Description: Learn high-performance MCP Server development techniques and build scalable service architecture.
Chapter 11: Practical Project Development
Learning Objectives:
- Develop file system management MCP Server
- Create database operation MCP Server
- Implement API gateway and proxy Server
- Build content management and search Server
- Develop custom business logic Server
Brief Description: Through multiple complete practical projects, comprehensively apply learned knowledge to develop practical MCP Server applications.
Chapter 12: Testing, Deployment, and Operations
Learning Objectives:
- Establish complete testing system (unit testing, integration testing)
- Master MCP Server packaging and deployment strategies
- Learn containerized deployment and orchestration
- Implement monitoring, alerting, and fault recovery
- Master version management and continuous integration/deployment
Brief Description: Learn MCP Server testing, deployment, and operations best practices to ensure stable operation in production environments.
Chapter 13: MCP Ecosystem and Best Practices
Learning Objectives:
- Understand the current state of MCP community and ecosystem
- Learn open-source MCP Server project analysis
- Master MCP Server development best practices
- Understand future development trends and technology roadmap
- Participate in community contributions and protocol improvements
Brief Description: Gain in-depth understanding of MCP ecosystem, learn industry best practices, and lay foundation to become an MCP expert.
Chapter 14: Advanced Features and Extended Development
Learning Objectives:
- Master advanced features and extension mechanisms of MCP protocol
- Develop custom protocol extensions and plugins
- Implement multi-language MCP Server support
- Learn integration with other AI frameworks
- Explore MCP practices in enterprise-level applications
Brief Description: Explore advanced functions and extension capabilities of MCP, preparing for complex scenarios and enterprise-level applications.