# File processing

The Qwen MCP tool is a server based on the model context protocol that integrates Qwen CLI with AI assistants, providing functions such as large context window analysis, file processing, sandbox execution, and multi - model support.

An MCP server developed based on C# and the NPOI library, providing comprehensive Excel file reading, writing, and operation functions for AI assistants. Supports .xlsx and .xls formats, including file management, data reading and writing, searching, worksheet management, and cell operations.

A modern and efficient CLI tool that can convert any input file to a base64 string, supports multiple output formats and two - way conversion, and includes an MCP server optimized for AI workflows.

SAMtools MCP provides a standardized operation interface for SAM/BAM/CRAM files, supporting core functions such as format conversion, sorting, and statistics.

An MCP server based on TypeScript for interacting with the Vectra knowledge base, providing functions such as creating collections, embedding texts/files, and querying the knowledge base.

This is an MCP project related to mobi files, providing tools for reading the content of mobi files.

The fileAI MCP server provides an end-to-end file processing solution, including OCR, document classification, and structured data extraction, and supports AI model integration and asynchronous processing.

This is an unofficial Quickbase JSON RESTful API connector developed based on the Model Context Protocol (MCP). It supports interacting with Quickbase data through natural language and enables management operations of resources such as applications, tables, fields, and records.