17 Repos
Tools that allow AI models to interact with local and cloud-based file systems.
Explore 17 awesome GitHub repositories matching part of an awesome list · File System Access. Refine with filters or upvote what's useful.
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
Converts various file formats into Markdown for LLM consumption.
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
Official reference implementation for local file system operations.
Go server implementing Model Context Protocol (MCP) for filesystem operations.
Implements secure file operations with configurable access controls.
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.
Enables rapid cross-platform file searching using system indexing tools.
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.
Shares local code context with LLMs via MCP or clipboard.
Reference MCP servers that are no longer maintained
Integrates Google Drive for file listing, reading, and searching.
Model Context Protocol Servers in Quarkus
Provides Java-based file system browsing and editing capabilities.
Simple cross-platform plug-in that allows you to pick files and work with them.
Cross-
Securely connect AI agents to your enterprise content in Box
Integrates Box cloud storage for intelligent content management.
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.
Handles document processing including PDF conversion, OCR, and redaction.
Model Context Protocol Server for Apache OpenDAL™
Enables universal storage access via the Apache OpenDAL framework.
Store and load JSON documents from LLM tool use
Provides immutable database storage with real-time synchronization.
MCP server for merging multiple files into one
Merges multiple files to fit within AI context window limits.
A Box model context protocol server to search, read and access files
Community-driven integration for Box file operations.
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.
Consistent portable file I/O APIs for .NET.