"Understanding File Systems" matching MCP servers:

A Node.js MCP server that enables image understanding by calling the MIMO multimodal model, supporting local file paths and URLs.

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

Enables MCP clients to replace hardcoded text in source files with i18n resource keys, with support for previewing changes, profiles, resource sets, and machine translation.

Provides comprehensive GDPR compliance assessment tools for AI/ML systems, including lawful basis determination, DPIA generation, and data subject rights handling. It also crosswalks GDPR requirements to EU AI Act obligations with AI-specific considerations throughout.

MCP server for Google's Gemini File Search (RAG). Manage file search stores, upload documents, and query with RAG through 12 tools.

An MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.

A Model Context Protocol server that enables Claude Desktop and other MCP clients to interact with WebDAV file systems through natural language commands for CRUD operations.

A stateless MCP server for composing, validating, auditing, and rendering consequential documents from a small semantic model.

MCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).

Enables moving artifacts from ChatGPT/Codex sandboxes to remote server storage via host-native file parameters, streaming large files without Base64 or model-context overhead.

Enables AI agents and LLMs to perform comprehensive file system operations including CRUD, search, archive, hashing, and duplicate detection via the Model Context Protocol.

Enables secure file uploads to Amazon S3 with progress tracking and presigned URL generation. Provides automatic UUID-based file naming and time-limited access URLs for uploaded files.

Enables AI agents to access file systems, fetch web content, query databases, and execute shell commands through the standardized Model Context Protocol.

Enables a Telegram bot to securely deliver local files to the owner's private chat and lets the owner approve in-chat plugin updates.

Enables AI-powered access to authoritative design systems knowledge, including W3C standards, WCAG guidelines, and best practices from 188+ curated entries via semantic vector search.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

A zero-dependency Node.js playground for debugging how MCP clients authenticate to an MCP server over HTTP.

Enables uploading files to MinIO (S3 compatible) via MCP tools. Supports Base64 file upload and optional curl command generation.

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

A corporate file management system that enables users to upload and activate files through an approval workflow for use within ChatGPT Apps. It utilizes the Model Context Protocol to provide secure access to file metadata and listings via OAuth 2.1 authentication.