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

1. The server runs on FastMCP framework
2. All file operations are relative to the project directory
3. Files are processed safely with proper encoding (UTF-8)
4. Logs provide metadata without exposing sensitive content

File Structure

• main.py - Core MCP server setup and basic file operations
• Notes.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:

1. Analyze your codebase: Understand structure, suggest improvements
2. Debug issues: Identify problems and propose solutions
3. Create documentation: Generate clear, helpful documentation
4. Process data: Work with your files to extract insights
5. 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

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This README was created by Claude Sonnet 4 to demonstrate AI-assisted documentation and project management capabilities.