16 open-source projects similar to aritchie/io, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Aritchie Io alternative.
Securely connect AI agents to your enterprise content in Box
Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.
PCL Storage provides a consistent, portable set of local file IO APIs for .NET, Windows Phone, Windows Store, Xamarin.iOS, Xamarin.Android, and Silverlight. This makes it easier to create cross-platform .NET libraries and apps.
MCP server for merging multiple files into one
Store and load JSON documents from LLM tool use
A Box model context protocol server to search, read and access files
Simple cross-platform plug-in that allows you to pick files and work with them.
An MCP server that provides fast file searching capabilities across Windows, macOS, and Linux. On Windows, it uses the Everything SDK. On macOS, it uses the built-in mdfind command. On Linux, it uses the locate/plocate command.
Go server implementing Model Context Protocol (MCP) for filesystem operations.
This project is an AI-powered document processing engine designed to transform diverse file formats into structured Markdown. By leveraging multimodal language models, it performs complex layout analysis and semantic text extraction, allowing for the conversion of both unstructured files and scanned images into machine-readable content. The toolkit distinguishes itself through a modular, plugin-based architecture that orchestrates multi-stage extraction pipelines. Users can steer the parsing behavior by injecting custom instructions, enabling the system to adapt to domain-specific document st
The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service environments, using a JSON-RPC based messaging standard to facilitate bidirectional communication between clients and servers. The protocol distinguishes itself through a robust capability-based handshake that negotiates feature sets during session initialization, ensuring compatibil
Reference MCP servers that are no longer maintained
A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for AI assistants.
Model Context Protocol Servers in Quarkus
Model Context Protocol Server for Apache OpenDAL™