"A guide for product selection" matching MCP servers:

基于百度图片搜索API，支持图片搜索、下载及格式转换的MCP服务器。

Enables AI agents to create and edit pixel art in a live Aseprite window, with tools for drawing, selection, transformation, and animation.

A MCP server that generates high-quality images using Volcano Engine's JiMeng AI API, supporting various aspect ratios and compatible with different MCP clients.

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

该MCP服务器使AI助手（如Claude Code、Codex）能够通过桥接目录和CEP面板与Adobe Premiere Pro交互，支持素材扫描、编辑规划、粗剪执行等操作，强调先规划后执行和人工复核。

Enables local Blender-based product modeling and photography by exposing project management, scene editing, rendering, image inspection, and asset publishing tools to MCP hosts like Claude Code, with versioned .blend revisions and PNG renders.

Exposes Open Video Guide functions to MCP clients, enabling conversion of tutorial videos into illustrated, verifiable guides with timestamps, evidence, and review states.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Nectar is a stdio MCP server for Pollinations image and video generation. It gives MCP clients a small, focused toolset for generating images, editing images, generating videos, listing available image/video models, and checking pollen balance.

Enables any MCP-capable agent to generate App Store and Google Play store screenshots from screen layout JSON plus local image file paths, returning a job ID for async polling or a direct download link. It also exposes render status polling with signed download URLs and per-response quota, balance, and cost metadata.

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.

Exposes OpenAI's gpt-image-2 and gpt-image-1.5 to Claude Code as a single tool for generating, editing, or composing images with automatic model selection.

Official MCP server for Rendobar. Lets AI agents run serverless media processing and upload local files.

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.

Enables Claude to generate and edit images using OpenAI's GPT Image models, with automatic model selection and local file saving.

Enables MCP clients to generate images and iteratively edit them using OpenAI's gpt-image-2 models, with session management, background job polling, and local file saving.

Enables designing labels for NIIMBOT thermal printers and previewing exactly what the printhead will burn, since each design is rendered offline with NiimBlue's own code in headless Chrome and returned as a 1-bit PNG with layout warnings. It also returns an open-in-app link so the label can be reviewed and printed from NiimBlue, without the server ever touching a printer.

Post AI-generated images to Vynly, the AI-only social feed. Four tools for posting, reading, searching, and ephemeral sparks — auto-claims a demo token on first run so it works with no signup.

Identifies LEGO parts, sets, and minifigures from local image files using the Brickognize API. It provides specialized tools for specific item recognition and integrates LEGO identification capabilities into MCP-enabled environments.

Provides MCP-compatible AI agents with a verify_image tool to check a photo's capture time and provenance using C2PA, EXIF, XMP metadata, and pixel forensics, returning a verdict and confidence score.