File Context Server: Real-Time Sync & Rock-Solid Backups

What is File Context Server: Real-Time Sync & Rock-Solid Backups?

File Context Server is a Model Context Protocol (MCP) solution designed to empower Large Language Models (LLMs) with real-time access to file system data. By enabling seamless file reading, analysis, and real-time monitoring, it bridges the gap between codebases and AI-driven workflows. Built with advanced caching and robust backup mechanisms, it ensures LLMs always work with the latest and most accurate file context.

How to Use File Context Server: Real-Time Sync & Rock-Solid Backups?

Get started in three simple steps:

1. Install via npm: npm install @modelcontextprotocol/file-context-server
2. Launch the server: npx file-context-server
3. Utilize tools like search_context or analyze_code through the provided API schema examples.

Key Features of File Context Server: Real-Time Sync & Rock-Solid Backups?

• Live File Monitoring: Auto-refreshes data when files change, ensuring LLMs never work with outdated code.
• Code Quality Insights: Detects code smells like overly complex functions, duplicated lines, and excessive file lengths.
• Smart Caching: Adapts to usage patterns with LRU strategies and configurable size limits to maintain performance.
• Pattern Power: Searches with regex support, context-aware results, and file type filtering for precise queries.

Use Cases of File Context Server: Real-Time Sync & Rock-Solid Backups?

Perfect for scenarios where code intelligence meets automation:

• Real-time dependency tracking during CI/CD pipelines
• Automated security audits via regex-based vulnerability patterns
• On-demand code complexity reports for refactoring efforts
• LLM-powered documentation generation with up-to-the-minute context

FAQ from File Context Server: Real-Time Sync & Rock-Solid Backups?

• How do I limit cache size? Set MAX_CACHE_SIZE in environment variables.
• Can I exclude certain file types? Use exclusion patterns in search/configuration options.
• What happens if a file changes? Caches are automatically invalidated and updated.
• How are errors reported? Clear error codes (e.g., FILE_TOO_LARGE) with actionable descriptions.
• Where can I contribute? Check our guidelines for bug fixes or feature proposals.

File Context Server

A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

Features

• File Operations

  • Read file and directory contents
  • List files with detailed metadata
  • Real-time file watching and cache invalidation
  • Support for multiple file encodings
  • Recursive directory traversal
  • File type filtering

• Code Analysis

  • Cyclomatic complexity calculation
  • Dependency extraction
  • Comment analysis
  • Quality metrics:
    • Duplicate lines detection
    • Long lines detection (>100 characters)
    • Complex function identification
    • Line counts (total, non-empty, comments)

• Smart Caching

  • LRU (Least Recently Used) caching strategy
  • Automatic cache invalidation on file changes
  • Size-aware caching with configurable limits
  • Cache statistics and performance metrics
  • Last read result caching for efficient searches

• Advanced Search

  • Regex pattern matching
  • Context-aware results with configurable surrounding lines
  • File type filtering
  • Multi-pattern search support
  • Cached result searching
  • Exclusion patterns

Installation

npm install @modelcontextprotocol/file-context-server

Usage

Starting the Server

npx file-context-server

Available Tools

1. list_context_files

* Lists files in a directory with detailed metadata

    {
  "path": "./src",
  "recursive": true,
  "includeHidden": false
}

2. read_context

* Reads file or directory contents with metadata

    {
  "path": "./src/index.ts",
  "encoding": "utf8",
  "maxSize": 1000000,
  "recursive": true,
  "fileTypes": ["ts", "js"]
}

3. search_context

* Searches for patterns in files with context

    {
  "pattern": "function.*",
  "path": "./src",
  "options": {
    "recursive": true,
    "contextLines": 2,
    "fileTypes": ["ts"]
  }
}

4. analyze_code

* Analyzes code files for quality metrics

    {
  "path": "./src",
  "recursive": true,
  "metrics": ["complexity", "dependencies", "quality"]
}

5. cache_stats

* Gets cache statistics and performance metrics

    {
  "detailed": true
}

Error Handling

The server provides detailed error messages with specific error codes:

• FILE_NOT_FOUND: File or directory does not exist
• PERMISSION_DENIED: Access permission issues
• INVALID_PATH: Invalid file path format
• FILE_TOO_LARGE: File exceeds size limit
• ENCODING_ERROR: File encoding issues
• UNKNOWN_ERROR: Unexpected errors

Configuration

Environment variables for customization:

• MAX_CACHE_SIZE: Maximum number of cached entries (default: 1000)
• CACHE_TTL: Cache time-to-live in milliseconds (default: 1 hour)
• MAX_FILE_SIZE: Maximum file size in bytes for reading

Development

# Install dependencies
npm install

# Build
npm run build

# Run tests
npm test

# Start in development mode
npm run dev

License

MIT

Contributing

Contributions are welcome! Please read our Contributing Guide for details on our code of conduct and the process for submitting pull requests.