MCP Demo Server with Claude Integration
Project Owner: Vipin Ruhal
About This Demo
This is a demonstration environment showcasing the Model Context Protocol (MCP) server integrated with Claude Sonnet 4, an AI assistant created by Anthropic. This setup provides a powerful combination of file management capabilities and AI assistance.
What is Claude?
I'm Claude Sonnet 4, a smart and efficient AI model designed for everyday use. I can help with:
- Code Development: Writing, reviewing, and debugging code in multiple programming languages
- Data Analysis: Processing CSVs, creating visualizations, and extracting insights
- Creative Writing: Stories, essays, poems, and other imaginative content
- Technical Documentation: Clear explanations of complex concepts
- Problem Solving: Breaking down complex tasks into manageable steps
- File Management: Reading, writing, and organizing your project files
Server Capabilities
This MCP server provides the following tools:
Core File Operations
- read_code(): Safely read any file in the project directory
- write_code(): Atomically write content to files with proper error handling
Enhanced Features
- Notes Management: Add, search, and retrieve notes from Notes.txt
- Document Processing: Read PDF and text files
- Image Processing: Create thumbnails and process image files
- File Status: Monitor file sizes, modification dates, and permissions
Safety Features
- Thread-safe file operations with locks
- Atomic file writes using temporary files
- Automatic directory creation
- Comprehensive error handling
Getting Started
- The server runs on FastMCP framework
- All file operations are relative to the project directory
- Files are processed safely with proper encoding (UTF-8)
- Logs provide metadata without exposing sensitive content
File Structure
main.py- Core MCP server setup and basic file operationsNotes.txt- Persistent note storage (3KB+)New.txt- General text file storage (24KB+)PDF- Document storage (1MB+)Image- Image file storage (2.3MB+)
Working with Claude
I can help you:
- Analyze your codebase: Understand structure, suggest improvements
- Debug issues: Identify problems and propose solutions
- Create documentation: Generate clear, helpful documentation
- Process data: Work with your files to extract insights
- Automate tasks: Create scripts and tools to streamline workflows
Best Practices
- Use descriptive file names and organize content logically
- Keep notes updated for better searchability
- Utilize the atomic write operations for critical files
- Regular file status checks help monitor project health
Support
This demo showcases the integration between MCP servers and AI assistants. For questions about:
- Claude capabilities: Ask me directly in our conversation
- MCP protocol: Check the official MCP documentation
- Anthropic products: Visit https://docs.anthropic.com
This README was created by Claude Sonnet 4 to demonstrate AI-assisted documentation and project management capabilities.