"영상 (videos/images)" matching MCP servers:

Enables any LLM to drive your local Codex CLI in a sandboxed workspace, running coding tasks and generating images without needing an API key.

Cloud GPU rendering for Blender, built for AI agents. Preview .blend files or bpy scripts, estimate render time, and render images, animation frames, or MP4 videos without a local GPU. Connect via MCP (OAuth) with Claude, ChatGPT, Codex, or Cursor: https://render.janction.jp/mcp. Free welcome credit for a new key, then per GPU-second. Pricing and limits: https://render.janction.jp/pricing

A server that enables Claude Desktop to generate images using Google's Gemini AI models through the Model Context Protocol (MCP).

Facilitates running Python code in a sandbox and generating images using the FLUX model via an MCP server compatible with clients like Goose and the Claude Desktop App.

Enables agents to browse, create, edit, and execute Jupyter notebook cells against local .ipynb files or a running Jupyter Server, including kernel interrupt/restart and notebook export. Outputs (text, tables, PNG images) are written back to the notebook and returned to the conversation.

MCP server that routes medical questions and images to MedGemma models hosted on Vertex AI, enabling interaction with text-only and multimodal medical AI systems.

Enables running ephemeral Kubernetes Jobs/pods with caller-chosen images and commands, returning results and artifacts while automating cleanup. Supports synchronous and background execution, repository cloning, and strict security controls.

Automatically installs and containerizes MCP servers from GitHub repositories using MCP sampling to analyze repositories and create appropriate Docker images.

An MCP server that executes Manim Python scripts to generate and return rendered animations. It enables users to create mathematical and programmatic videos dynamically through natural language interfaces.

Enables agents to inspect molecular-dynamics trajectories — frames, atom counts, elements, depth profiles, and rendered images or videos — and to run LAMMPS/ReaxFF simulations as detached background jobs that survive the server exiting, with status, logs, results, and cancellation tools. Also supports submitting decks to a hosted GPU tier or your own SSH hosts, with credit balance checks and deck preflight validation.

Enables AI agents to read, write, and compile LaTeX projects locally, view PDF pages as images, and manage project files, with live updates reflected in a web-based editor.

Enables compilation and serving of Manim animations through natural language. Supports compiling Manim Python code into videos and downloading the generated animations with secure authentication.

Enables MCP clients to control the local Codex CLI, including running and resuming agent sessions, forking, code review, applying diffs, and generating images, with background execution for long-running tasks.

Enables AI assistants to render 3D models from OpenSCAD code, generating single views or multiple perspectives with full camera control. Supports animations, custom parameters, and returns base64-encoded PNG images for seamless integration.

A Model Context Protocol server that enables AI assistants to analyze images using OpenRouter vision models through a simple interface.

Enables any MCP-compatible AI agent to directly operate PixInsight through about 80 tools for opening and editing images, running processes, PixelMath, astrometry, and channel operations.

Enables an MCP-compatible AI client to control CADFEKO, the FEKO solver, and POSTFEKO by running Lua API scripts, launching asynchronous jobs, tracking progress, and exporting S11, impedance, Touchstone, model files, and images.

Enables MCP-compatible AI clients to control CADFEKO, the FEKO solver, and POSTFEKO by running Lua API scripts, launching asynchronous jobs, monitoring progress, and exporting S11, impedance, Touchstone, model files, and images.

An MCP server providing video processing capabilities through FFmpeg, enabling dialog-based local video search, trimming, concatenation, and playback functionalities.

The AIGC solution based on the MCP protocol seamlessly transforms the ComfyUI workflow into an MCP Tool with zero code, enabling LLMS and ComfyUI to join forces and focus on image generation tasks. qwen-image, flux, and FLUx-KREA can be used for image generation.

This server gives AI clients a persistent, isolated Linux container in which the model can run any bash command as root with internet access, install packages and start long-running processes without command filtering. Files produced inside it can be handed back to the user as signed, expiring public download links suitable for PDFs, images, audio and video.

Connects Claude Desktop to a live Smalltalk environment to browse classes, evaluate expressions, and manage methods in Squeak or Cuis images. It utilizes a dedicated agent to delegate Smalltalk programming tasks to local or cloud-based LLMs while maintaining a secure connection to the live image.

Connects Claude to Cinema 4D so users can build and manipulate 3D scenes through natural-language prompts, including adding primitives, cameras, lights, materials, MoGraph cloners and dynamics, executing custom Python, and rendering preview images. It also provides Redshift material inspection and scene snapshot tools with support for C4D 2024 and 2025.

Lets AI agents drive a live Blender session — reading scene and object data, creating, modifying and deleting objects, setting materials, rendering images, executing code, and downloading PolyHaven assets. Prompts flow through a swappable, provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be reconfigured at runtime without restarting.

Enables AI agents to control a live Blender session — inspecting and editing scenes, objects and materials, rendering images, executing code, and pulling PolyHaven assets — through MCP tools. It also routes prompts to a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, or Azure) that can be switched at runtime.

Enables AI agents to drive a live Blender session over MCP — inspecting scenes, creating, modifying and deleting objects, applying materials, rendering images, importing PolyHaven assets, and executing code — while routing prompts through a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be switched at runtime.