"Configuration d'un compte professionnel pour les réseaux sociaux" matching MCP servers:

Serveur MCP exposant 4 ESP32-CAM d'atelier à Claude Code, permettant de lister les caméras, prendre des photos, consulter le statut technique et contrôler les LEDs flash.

Enables image generation using Gemini native models, supporting both single prompts and batch processing via a file-based queue. It allows for detailed configuration of aspect ratios and models using YAML frontmatter across various MCP-enabled clients.

Enables AI image generation through Ketchup AI with automatic prompt optimization and cloud hosting via URUSAI!, supporting multiple aspect ratios and proxy configuration for accessibility.

Provides advanced image analysis capabilities including object recognition, OCR text extraction, and multi-turn visual dialogues using OpenAI-compatible APIs. It supports both local files and Base64 inputs with additional features for session persistence and web-based configuration management.

Enables AI image and video generation, editing, and history tracking inside MCP clients using OpenAI, Google Gemini, and Veo models, with flexible API key or cookie-based configuration.

An MCP server that enables LLMs to generate high-quality SVG charts using matplotlib, supporting various plot types like line, bar, and heatmaps. It provides flexible configuration for dimensions and axis scales, returning either raw SVG content or paths to saved image files.

Enables image generation and editing using Google Gemini AI with support for multiple aspect ratios, context images, custom styles, and watermark overlays. Optimized for creating social media content with automatic file saving and flexible output configuration.

A simplified installation fork of the Blender MCP server, enabling control of Blender through natural language via MCP. Provides an automated setup script and easy add-on configuration.

Enables image and video generation using BigModel AI's CogView and CogVideoX models via MCP, supporting batch image generation and various configuration options.

A remote MCP image generation server that unifies OpenAI Images and Gemini generateContent APIs with preset-based configuration for multi-provider support.

A read-only MCP server for bounded semantic inspection of ROS 2 perception systems, enabling discovery and metadata extraction from sensors such as cameras, depth sensors, and LiDARs without device configuration or actuation.

Enables the automatic generation of complete Live2D models from a single photo by automating segmentation, rigging, and physics configuration. It provides a full pipeline for creating layered art meshes and motion files through a suite of specialized animation tools.

Generates all required web app icons and manifest files from a single source image with framework auto-detection. Supports Next.js App Router, traditional web apps, and PWA standards with zero configuration.

Provides a recognize_image tool that enables image recognition using DeepSeek's vision capabilities. Supports automatic login via browser or manual token configuration for server environments.

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 AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth-observation catalogs such as Sentinel-2, Landsat, and Copernicus DEM, with zero API keys or configuration. It supports place-name geocoding, STAC scene search, cloud-native COG streaming for spectral indices, elevation profiles, SAR flood detection, and sandboxed custom geospatial scripts.

Enables AI-powered image generation using Volcengine's Doubao model with customizable aspect ratios (1:1, 4:3, 16:9, 3:4, 9:16) and file management. Supports high-quality text-to-image generation with automatic retry, error handling, and flexible save path configuration.

Enables scenario control, parking, sensor configuration and visualization, recording/playback, weather and traffic-light management for the customized CARLA UE5 simulator, with ROS 2 bag integration, through MCP tools and resources.

Enables MCP clients to generate images through multiple free/low-cost providers with automatic failover, plus session history, provider status, and configuration tools.

An MCP server that enables users to generate AI images using the Jimeng AI API with support for automatic status polling and local file saving. It allows for detailed parameter configuration including image dimensions, model selection, and prompt optimization.