bsmi021_mcp-file-context-server
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A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs).
The File Context Server is a Model Context Protocol (MCP) server designed to enhance the capabilities of Large Language Models (LLMs) by providing them with comprehensive file system context. This server allows LLMs to perform operations such as reading, searching, and analyzing code files with advanced features like caching and real-time file watching. It supports various file operations, code analysis, smart caching, and advanced search functionalities, making it a powerful tool for developers and AI systems that require detailed file system insights. The server is equipped with error handling mechanisms and is highly configurable through environment variables, ensuring robust performance and adaptability to different use cases.
Features
- File Operations: Read file and directory contents, list files with metadata, real-time file watching, support for multiple encodings, recursive traversal, and file type filtering.
- Code Analysis: Calculates cyclomatic complexity, extracts dependencies, analyzes comments, and provides quality metrics like duplicate lines detection and complex function identification.
- Smart Caching: Implements LRU caching strategy, automatic cache invalidation, size-aware caching, and provides cache statistics and performance metrics.
- Advanced Search: Supports regex pattern matching, context-aware results, file type filtering, multi-pattern search, and exclusion patterns.
Tools
list_context_files
Lists files in a directory with detailed metadata.
read_context
Reads file or directory contents with metadata.
search_context
Searches for patterns in files with context.
analyze_code
Analyzes code files for quality metrics.
cache_stats
Gets cache statistics and performance metrics.
