"YOLO" matching MCP servers:

Enables interaction with ESPN Fantasy Football leagues through natural language, allowing users to query rosters, matchups, and injuries, and execute actions via MCP or CLI.

A computer vision service that allows Claude to perform object detection, segmentation, classification, and real-time camera analysis using state-of-the-art YOLO models.

An AI-powered MCP server for intelligent video processing, enabling automated analysis, transition effects, and quality assurance with multi-agent orchestration.

MCP server enabling a florr.io game agent with YOLO vision, entity prediction, combat assessment, and local knowledge base for autonomous gameplay.

Enables AI agents to connect to the NeuralForgeAI cluster for inspecting and controlling YOLO training jobs, including launching, monitoring, canceling studies, and verifying dataset paths.

MCP server for non-intrusive RDP automation with OCR, YOLO button detection, and click injection. Automates remote desktop interactions without installing anything on the remote machine.

Identifies bird species from images using YOLO detection and ConvNeXt classification, returning top-5 species with confidence and Chinese names.

Enables LLMs to control Windows desktops via local OCR, optional YOLO icon detection, and mouse/keyboard actions.

Deterministic Android game QA automation MCP server providing device control, perception (OCR, template matching, YOLO), scripted task execution, and findings reporting for AI agents.

Enables AI agents to delegate complex coding tasks, refactorings, and automated code reviews to OpenAI Codex and Google Antigravity CLIs, running them autonomously in YOLO mode with process supervision.

Enables MCP clients to discover and call three tools over Streamable HTTP: generating personalized greetings, retrieving the current ISO 8601 date/time in a configured timezone, and performing addition, subtraction, multiplication, or division with clear error handling. It runs locally or in Docker and exposes a health endpoint for monitoring.

Enables AI agents to call custom-trained YOLO computer vision models for logistics tasks like parcel damage detection, parcel counting, helmet verification, and vehicle classification directly in conversation.

Automates manga translation by detecting text regions with YOLO, performing OCR, invoking a multimodal LLM with full-page context for translation, and rendering translated text back onto the original images.

Enables live runtime inspection of any Python application, allowing MCP clients to query state, evaluate expressions, inspect objects, and read source code while the app runs.