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

Usage

Starting the 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

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.