willianpinho/large-file-mcp

Overview

This MCP server enables AI agents to perform efficient large file operations, including chunk reading, smart search, and targeted text replacement. It provides a standardized interface via the Model Context Protocol, allowing agents to work with large text files without loading the entire content into memory.

Best for

Best for
Developers building AI agents that need to efficiently manipulate large text files within MCP-enabled environments

Use cases

• Reading large log files in manageable chunks during analysis
• Searching for patterns within massive text files without full transfer
• Applying targeted replacements in large configuration or data files

Notes

This MCP server enables AI agents to perform efficient large file operations, including chunk reading, smart search, and targeted text replacement. It provides a standardized interface via the Model Context Protocol, allowing agents to work with large text files without loading the entire content into memory.

13 stars on GitHub. Last updated 2026-05-18. Licensed MIT.

Use cases

• Reading large log files in manageable chunks during analysis
• Searching for patterns within massive text files without full transfer
• Applying targeted replacements in large configuration or data files

Pros

• Lightweight TypeScript implementation, easy to integrate into MCP-based workflows
• Specialized for large files, reducing memory overhead compared to naive reads
• Open source on GitHub with MIT license (allow unrestricted use)

Cons

• Small community with only 13 stars, limited support and contributions
• Narrow feature set focused solely on read, search, and replace operations
• Requires an MCP-compatible client, restricting use outside this ecosystem

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.