"Asynchronous command execution for OpenCode terminal tasks" matching MCP servers:

MCP server that provides image description capability using StepFun Step-3.7-flash multimodal model, enabling models to 'see' images by converting them into detailed text descriptions.

MCP server that bridges OpenCode AI chat to Adobe After Effects and Premiere Pro via a local Node/Express server and ExtendScript, enabling commands like creating compositions, rendering, and executing scripts directly from the chat.

Generates images via any OpenAI-compatible API, auto-detecting image models and saving results to disk with optional inline previews.

MCP server that gives visual reference to MCP clients by calling an OpenAI-compatible vision API, enabling image description with optional auto-selection of the newest pasted image.

MCP server that lets OpenCode (or any MCP-compatible AI coding tool) directly control ComfyUI for AI image generation.

Provides image/vision support for OpenCode by routing images to any OpenAI-compatible endpoint, enabling paste-and-ask screenshot workflows.

MCP server for image recognition via OpenRouter AI. It sends an image to a primary model (fast) and falls back to a secondary model if needed, returning a textual description.

MCP server that gives non-multimodal models 'eyes' by describing images via NVIDIA NIM's MiniMax-M3 model, with tools to describe images and list available vision models. It supports multiple NVIDIA API keys with automatic failover and rotation.

Enables text-only models to understand images by intercepting pasted images, saving them locally, and using a vision MCP server to analyze them with multimodal backends like Qwen-VL, Doubao, or GLM-4V.

MCP server that gives non-image-capable models like DeepSeek the ability to generate images using backends such as Qwen-Image, Seedream, and CogView, saving them locally and returning file paths instead of base64 data.

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.

An MCP server that provides vision capabilities to DeepSeek by forwarding image analysis requests to supported vision models. It offers tools for professional image analysis, OCR, and image comparison.

Provides vision capabilities to Reasonix, enabling analysis of images/videos, OCR, and comparisons via OpenAI-compatible vision models.

Bridges DeepSeek (text-only) with vision models via MCP, enabling image description and compression using any OpenAI-compatible visual API.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

A server that allows AI tools like Claude and Cursor to automate and control Photoshop through natural language commands, enabling tasks like editing PSDs, toggling layers, and generating marketing creatives.

Enables AI agents to inspect and drive Blender scenes directly, either through a live editor bridge on port 8190 or automatically via headless background CLI when Blender is closed. Provides token-efficient tools for scene outlining, object creation and modification, modifiers, materials, rendering, asset export, and arbitrary bpy script execution.

Provides tools to fetch IIIF manifests and retrieve specific image regions or scaled images for analysis. This server enables detailed interaction with International Image Interoperability Framework resources, supporting tasks like image description and transcription.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.