"Wikimedia Foundation" matching MCP servers:

Creates narrated 9:16 documentary videos from user-described topics using Wikimedia images and AI voiceover, rendered entirely on your machine.

An MCP server that enables automated dataset creation and custom object detection model training through natural language interactions. It integrates foundation models like GroundedSAM for auto-labeling and supports training specialized YOLOv8 models using local or Unsplash images.

Exposes geospatial foundation model inference as MCP tools for LLM agents, enabling building extraction, water segmentation, object detection, change detection, zero-shot scene classification, and embeddings on CPU.

Enables AI agents to segment 2D and 3D biomedical images using Microsoft's MedImageParse foundation models via free-text prompts, returning masks and statistics. Supports both local stdio MCP server and a hosted Azure API Management gateway for remote agents like Microsoft Foundry.