"Deploying an MCP service in an offline environment" matching MCP servers:

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.

Enables AI agents to inspect UI screen recordings as token-efficient image sheets with changed regions boxed, single-frame flicker flagged, and speech aligned to frames. Exposes watch_video and zoom_video tools so agents can pull dense keyframes across any time range or one sharp full-resolution frame, all processed locally.

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

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 medical image analysis, structured medical report generation, and medical Q\&A through the Lingshu medical AI model. Provides healthcare professionals and developers with AI-powered medical assistance capabilities via a FastMCP server interface.

This MCP server gives LLM agents eyes - the ability to see and understand their physical environment through an Intel RealSense depth camera.

A media transcoding proxy with an MCP control surface for generating optimized media URLs, primarily for offline delivery in Bible translation projects.

An MCP server that gives LLMs direct access to OpenRouter's Image API to generate images, edit/transform existing ones, and browse the model catalog.

An MCP server that uses Xiaomi MiMo v2.5 multimodal model to provide image recognition capabilities (description, multi-image analysis, OCR, and image info validation) for text-only main models like deepseek-v4-flash, accepting local paths, URLs, file://, and base64 data inputs.

An MCP server that gives text-only models image generation and understanding capabilities, with tools like generate_image, describe_image, and set_api_key. It enables any MCP client to create and analyze images using a single API key.

Enables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.

An MCP server that enables Claude Code to generate images and short videos using Google's Gemini API (Imagen 4 for stills, Veo 3.1 for video). It integrates directly into development workflows, allowing AI assistants to create visual assets and reference them in code without context switching.

MCP server that turns AI into an SVG artist. One rendering engine with a rich JSON schema, AI controls all design parameters. Renders animated SVGs with CSS @keyframes and SMIL animations. Supports 16+ element types, parametric curves, pattern groups, gradient/filter/clip/mask definitions, and PNG preview. No external dependencies, runs locally via npx.

MCP server that gives AI chat real vision by reading images, files, logs, and zip archives via local OCR in any language, with privacy-first processing.

The premier fashion & apparel Model Context Protocol server. AI bounding box outfit deconstruction, 100% in-stock occasion looks, live size stock, and 1-click checkout.

An MCP server that enables AI agents to search, retrieve, and curate free stock photos and videos from Pexels, with tools, resources, and prompts for easy integration.

An MCP server that reads a file's embedded C2PA Content Credential to report whether it declares AI generation or a real-world capture, and checks whether that declaration's signature still verifies against the file's current bytes.

MCP server (stdio, TypeScript) for optimising the images in a project with verified quality. Tools: analyze_images (read-only dry run) and optimize_images (in place or to a folder). Source: mcp/ in this repository; npm: optiq-mcp; MCP Registry: io.github.Baukaalm/optiq-mcp.

An MCP server providing access to 554+ generative AI models with spend safety guardrails, enabling text-to-image, image-to-video, and more through a simple 4-call workflow.

Enables analysis of an image's optical properties (color temperature, light vectors, luminance dynamics) and generation of physically grounded relighting variants, harmonized composites with contact shadows, and calibrated diffusion prompts for GPT Image and Nano Banana targets.

MCP server that connects an AI assistant to a running ComfyUI instance, allowing it to fetch saved workflows, inject a prompt and seed, run generation, and return the image inline in chat.

Offline PDF tools from the LaserPDF desktop app: extract and search text, OCR scanned pages (English and Turkish), redact text so it is removed from the file, remove hidden metadata, export tables to Excel, and merge, extract or rotate pages.

An MCP server enabling agents to generate videos via the vidhook render API, with tools to validate movie definitions, start renders, and check status.

MCP server for generating memes via the Imgflip API. It allows AI assistants to browse meme templates, caption them, and return the resulting image directly in the conversation.

Enables AI agents to read public Instagram Reels without logging in, returning details, on-device timestamped speech-to-text transcripts, real video frames, preview comments, and Reel links harvested from web pages.

Compress, merge, split, OCR and convert PDFs (Word, Office, images, webpages) on local files, plus password protect and unlock, through the Papyrio API. Works without a key on a free guest tier; an optional RapidAPI key raises the limit.

An MCP server that enables Claude Code and Claude Desktop to generate and edit images using OpenAI's gpt-image-2 model, with results saved to disk.

Provides image recognition capabilities to Codex/Claude Code by routing 'look at screen/screenshot' requests to a multimodal model via an API relay. Enables UI automation agents to analyze local screenshots and return descriptions or structured JSON coordinates.

Image generation for Claude Code, Claude Desktop and any MCP client, using your existing ChatGPT subscription. Drives the already-signed-in Codex desktop app over the Chrome DevTools Protocol - no API key, and no Codex agent quota. Supports iterative refinement through a reusable conversation. Windows only; requires the Codex desktop app.