"YouTube MCP integration with Cursor AI" matching MCP servers:

Enables AI agents to create and edit pixel art in a live Aseprite window, with tools for drawing, selection, transformation, and animation.

MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.

Enables MCP clients to analyze YouTube videos by extracting summaries, timestamped outlines, diagrams with Mermaid code, and targeted insights about specific moments using Gemini's native video understanding.

Enables turning public YouTube videos into full text and a short summary by having Gemini watch the video through its documented YouTube-URL input, with no downloading or caption scraping. Digests are cached in SQLite by video id, so repeated requests are free, and stored videos can be listed or searched with full-text queries.

Enables ChatGPT to generate images, videos, and scenes through FrameForge, and open the full FrameForge experience, with secure OAuth-based authentication.

Enables AI assistants to extract educational content from YouTube videos by fetching timestamped transcripts and visually meaningful frames, returning them as base64 JPEGs for analysis.

Analyzes public YouTube videos with Google Gemini, enabling summarization, timestamped insights, metadata extraction, audio analysis, and long-video sessions with follow-up questions.

Wraps Jimeng AI's image and video generation APIs for AI assistants to create and edit visual content via natural language.

Enables MCP clients like Claude Desktop and Cursor to combine two public HTTPS images using AI by submitting image URLs and polling for the generated result.

Enables AI photo generation, editing, and video creation from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Enables image and video generation across GPT-Image, Gemini, Grok, and Jimeng with file-based outputs, multi-reference support, and model capability lookup.

MCP server for Winston AI's detection tools, enabling AI content detection, plagiarism checking, image analysis, and text comparison.

Read-only MCP server exposing AI Room Design's image generation styles, pricing, FAQ, and official links to MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Pay the provider's own price. No markup, no subscription. Use 400+ Vercel AI Gateway models, including Veo, Kling, Seedance, Nano Banana and GPT Image, to make video, images, voice and text right inside Claude, ChatGPT or any MCP app. Deploy your own copy to Vercel in one click; every call is billed to your own Gateway credits.

Provides image recognition capabilities to MCP clients by integrating with OpenAI-compatible vision models, supporting local images, URLs, multi-image comparison, and model listing.

Identify and remove AI provenance metadata (C2PA, EXIF, IPTC, XMP, TC260), visible AI-generator labels and supported invisible watermarks from images and video you generated yourself. Runs locally over stdio with uvx.

Enables Dot/Codex hosts to read the game's authoring specifications and validate fighter manifests and asset packages with real WebP, hash, frame, and profile checks. It provides local MCP tools for creating and checking JSON-based fighter packages without uploading or registering them.

MCP server for Jianying (CapCut) AI-assisted editing, enabling natural language-driven draft generation, reference reuse, and batch template creation with safety checks.

Open-source MCP server for AI image and video creation, enabling prompt library search, prompt enhancement, and media generation from Claude Code, Cursor, and other MCP hosts.

Enables read-only exploration of a Spot AI organization through the camera/video-intelligence REST API, so users can list locations, cameras, appliances and zones, query counting, idle, presence and license-plate events over a date range, and generate live-stream viewing URLs. Includes a generic GET escape hatch for any documented endpoint, with API keys resolved lazily from an environment variable or secret-helper command.