"A server for finding posters" 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 assistants to obtain exact credit quotes, create posters after explicit approval, and retrieve owned results through Poster.sh.

Generates print-resolution business posters (PNG/JPG) from a plain-language brief, using a design system derived from reference posters to lay out text, palettes, and images automatically.

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。

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.

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.

A local, read-only MCP server that lets AI agents inspect and analyze photo libraries by scanning files, aggregating EXIF stats, finding duplicates, scoring blur, and generating cull reports without uploading any data.

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.

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.

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.