"Red Hat" matching MCP servers:

Search 25,000+ meme templates and create shareable memes directly from your AI assistant.

Enables image generation and editing as MCP tools, abstracting tai-openapi's endpoints and returning images directly without relying on local URLs.

Converts text or markdown into Xiaohongshu (Little Red Book) style image cards with AI cover generation, supporting multiple themes and aspect ratios.

Enables generation of Xiaohongshu (Little Red Book) social media content including intelligent outlines, AI-generated images, and multi-page posts through natural language commands.

MCP server that lets AI assistants manage Roblox thumbnails end to end, including performance tracking, generation, publishing, auto-rotation, and Discord team notifications.

A stdio MCP server that enables agents without native vision to ask an OpenAI-compatible vision model to describe, OCR, or extract structured data from images via a single tool.

Minimal MCP server for Kimi-compatible image analysis, allowing local images to be sent as inline base64 to any compatible endpoint.

Converts Markdown documents into beautifully styled knowledge cards with 18 different themes and generates them as HTML or image files (PNG/JPEG) in various sizes.

An MCP server for image generation using the Gemini API.

Enables PDF reading through MCP with text extraction, Chinese OCR for scanned documents, page rendering, and keyword file search from any compatible MCP client.

An MCP server that allows Claude or any MCP client to see and control Reolink cameras on the local network. It provides snapshots, device state, AI detection, PTZ controls, and deterrence features without cloud dependency.

Enables AI coding agents to perform end-to-end medical image analysis locally, from inspecting CT/MRI/X-ray studies and running containerized segmentation models like MedSAM2, TotalSegmentator, and HD-BET to refining masks, measuring volumes, and writing reports. It pairs preset or custom guideline protocols with a code-customizable viewer that renders images back to agents as annotated PNGs and to humans as interactive HTML.

Enables reading images (diagrams, screenshots) directly via the model's own vision, with no external API key needed, and can extract embedded images from .doc/MHTML documents.

Enables sending pick-and-place instructions to myCobot using object detection via image feedback.

Enables an existing Codex or Claude Code conversation to inspect an original GIF as ordered composited PNG frames, timing, coverage, and source hashes through bounded local tools. It also opens a process-owned picker and supports inspecting focused intervals from an immutable snapshot.

An MCP server for analyzing images using OpenRouter vision models, offering capabilities like automatic image resizing, model configuration, and handling custom queries about images.

Enables a connected LLM to inspect brain MRI slices as crops and montages with coordinates, compare a region against its mirrored hemisphere, and review the pipeline's candidate hotspots. It lets the model write prioritised "area to review" annotations that appear live in the browser viewer, and move or read the clinician's crosshair position.

MCP server that gives text-only agents like Claude Code and Codex image, video, and audio analysis capabilities through local setup and multiple AI providers.

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.

Enables AI assistants to estimate monocular depth maps from local or remote images and frame-by-frame video using bundled ONNX Depth Anything V2 models, without requiring PyTorch. Also exposes tools for listing and pre-downloading checkpoints and checking the runtime backend, with automatic GPU/CPU selection.