"Understanding Cursor Rules in Programming or User Interfaces" matching MCP servers:

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).

An MCP server that uses Google's Gemini API to analyze videos and convert them to text descriptions that Claude Code can understand and act upon.

Enables Codex to delegate code reviews, coding tasks, image/video generation, and background investigations to Grok via MCP tools.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.

A Model Context Protocol server that enables fetching and processing images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings with proper MIME types.

Enables AI agents to analyze, summarize, and extract text from videos and images using the Qwen3-VL-8B-Instruct model deployed on Blaxel. It supports media analysis via URL, including video Q\&A and speech transcription capabilities.

An integration that allows Cursor AI to generate images through the Draw Things API using natural language prompts.

Provides AI coding assistants with privacy-first, synchronized screen context including cursor position, active window metadata, and visual verification to aid in building and debugging graphical interfaces.

Enables natural language search of local photo archives using AI-powered semantic understanding, with integration into Claude Desktop via the Model Context Protocol.

Render HTML/CSS to PNG/JPG/WebP directly from Claude Desktop, Claude Code, Cursor, or any MCP-compatible client.

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

Augments DeepSeek-V4 with image understanding and deep research capabilities via MCP, enabling vision and web research tools.

Enables AI agents to analyze images via user-configured cloud vision APIs (Gemini or OpenAI-compatible), returning structured results such as summaries, OCR text, and objects.

Wraps OpenAI-compatible text-to-image APIs as MCP tools, enabling image generation directly from conversations in Claude Code, Codex, Cursor, or Claude Desktop using the user's own API key.

Provides vision understanding capabilities such as image analysis, OCR, object localization, and video frame analysis, plus optional image generation and editing, to coding agents via OpenAI-compatible multimodal models. Runs as a local MCP server with HTTP and stdio transports, configurable for clients like Codex, Claude Code, Kimi, and Cursor.

An MCP server providing vision understanding tools (image QA, OCR, video and document understanding) via OpenAI-compatible endpoints, defaulting to Zhipu GLM vision models.

Enables understanding local or network images via ZhipuAI's free vision model (glm-4.6v-flash), returning Chinese descriptions or answers to questions. Supports multiple images for comparison and optional model switching.

Enables any MCP client to perform image understanding and OCR via any OpenAI-compatible vision-language model. Supports local, private inference without images leaving the machine.

An MCP server implementation that integrates with Minimax API to provide AI-powered image generation and text-to-speech functionality in editors like Windsurf and Cursor.