"Documentation URL for a service API, data, and LLM usage" matching MCP servers:

A TypeScript MCP server that gives text-only LLMs image understanding through StepFun vision models.

Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.

Analyze YouTube, TikTok, and Instagram videos from URL. Extracts transcripts, generates AI insights, and pulls tutorial steps from any video link.

Enables coding agents to watch and analyze videos by extracting scene-aware frames, transcribing speech, and generating shot timelines, all constrained by a token budget to fit LLM context limits.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

An MCP server that enables any LLM to describe images from file paths, URLs, or base64 data by forwarding them to a supported vision provider such as OpenAI, Anthropic, or local Ollama models.

MCP server that provides a 'borrowed eye' for text-only LLMs, enabling them to identify and describe local images via the Qwen VL vision model, including face recognition, scene description, OCR, and targeted visual questioning.

MCP server for programmatic video generation. Send a prompt, get an MP4.

Provides screen capture, OCR text extraction, and visual language model scene understanding capabilities with continuous monitoring and automatic memory storage integration.

Enables Claude Code to leverage Chinese LLMs for multimodal tasks including image analysis, audio transcription, and deep synthesis via MCP protocol.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Enables AI agents to interact with a Stable Diffusion REST API for image generation, inpainting, model management, and merging.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Provides vision capabilities to text-only LLMs by analyzing image files via Qwen-VL and returning textual descriptions, with support for OCR, UI analysis, diagram/chart understanding, and code extraction through MCP stdio.

Enables image and video generation using Luma's API, supporting multiple models, aspect ratios, and advanced features like keyframes and style references.

Provides LLMs with full access to the Ken Video API for professional video processing, including adding audio, captions, and job management.

Provides job search capabilities including analyzing job descriptions, fetching job postings from URLs, and searching opportunities, plus basic image processing tools like converting images to black and white.

MCP server for Clarity AI's upscaler, providing tools to list models and upscale images/videos via a single POST endpoint, with support for local files and multiple processing modes.

An MCP server that provides headless, read/write access to Photopea for image editing, including layers, text, filters, and document operations, enabling agents to edit images programmatically.