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Introduction

What is Large File MCP Server?

Large File MCP Server is a production-ready Model Context Protocol (MCP) server that enables AI applications to work efficiently with large files. It solves the fundamental problem of processing files that are too large to fit in memory or LLM context windows.

The Problem

Modern AI applications face several challenges when working with large files:

  • Memory Limitations: Loading entire files into memory is impractical for large datasets
  • Context Windows: LLMs have limited context windows (typically 8K-128K tokens)
  • Performance: Processing must be fast enough for interactive use
  • Navigation: Finding specific information in massive files requires intelligent search

The Solution

Large File MCP Server provides:

Smart Chunking

Automatically determines optimal chunk size based on file type and content. No need to manually configure chunk sizes for different file types.

Streaming Architecture

Process files of any size without loading them into memory. Uses Node.js streams for memory-efficient processing.

Intelligent Caching

LRU cache with configurable size and TTL. Achieves 80-90% cache hit rates for frequently accessed chunks.

Regex-powered search with contextual results. Find patterns across massive files in milliseconds.

Type Safety

Written in TypeScript with strict typing. Catch errors at compile time and enjoy excellent IDE support.

Key Features

  • Cross-Platform - Works on Windows, macOS, and Linux
  • Production Ready - Comprehensive test coverage (>90%)
  • High Performance - Handles files > 10GB efficiently
  • Easy Integration - Works with Claude Desktop and Claude Code CLI
  • Configurable - Environment variables for customization
  • Well Documented - Complete API documentation and examples

Architecture

┌─────────────────────────────────────────┐
│           MCP Client (Claude)           │
└────────────────┬────────────────────────┘
                 │ MCP Protocol
┌────────────────▼────────────────────────┐
│       Large File MCP Server             │
│  ┌──────────────────────────────────┐   │
│  │  Tool Handlers                   │   │
│  │  - read_large_file_chunk         │   │
│  │  - search_in_large_file          │   │
│  │  - navigate_to_line              │   │
│  │  - get_file_structure            │   │
│  │  - get_file_summary              │   │
│  │  - stream_large_file             │   │
│  └──────────────────────────────────┘   │
│  ┌──────────────────────────────────┐   │
│  │  Core Services                   │   │
│  │  - FileHandler (chunking)        │   │
│  │  - CacheManager (LRU cache)      │   │
│  └──────────────────────────────────┘   │
└────────────────┬────────────────────────┘
                 │ File I/O
┌────────────────▼────────────────────────┐
│         Filesystem                      │
│  - Local files                          │
│  - Network mounts                       │
│  - Any accessible file                  │
└─────────────────────────────────────────┘

Use Cases

Log Analysis

Analyze massive log files to find errors, warnings, and patterns without loading them into memory.

Code Navigation

Navigate large codebases, jump to specific lines, and search for function definitions.

Data Processing

Work with large CSV files, JSON datasets, and other data files chunk by chunk.

Documentation

Search through large documentation sets and knowledge bases efficiently.

Getting Started

Ready to start? Head to the Getting Started guide.

Released under the MIT License.