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.
Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.
MCP server for Google Veo 3.1 video generation. Supports text/video/image-based generation, extension, and interpolation with cost estimation and batch processing.
A Model Context Protocol server that provides web and image search capabilities through Google's Custom Search API, allowing AI assistants like Claude to access current information from the internet.
Provides a standardized interface for LLMs to read, create, and manage Google Calendar events. It supports full event lifecycle management and includes advanced capabilities for processing events from screenshots and images.
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 assistants to search, browse, and retrieve metadata and images from your Google Photos library. It supports content-based filtering, album listing, and location extraction via STDIO and HTTP transports.
Privacy-first MCP server for macOS that allows AI agents to search local images using natural language descriptions, leveraging MLX CLIP embeddings and LanceDB for fast, fully offline search.
Controls Google Flow for image and video generation from an AI agent. Enables generating images with models like Imagen 4, creating videos, managing characters and scenes via browser automation.
Enables high-quality image generation using Google's Imagen 3.0 model via the Gemini API, with support for multiple images per request and automatic file management and HTML preview generation.
A FastMCP server implementation that provides a standardized interface for accessing AI models hosted on Replicate's API, currently supporting image generation with customizable parameters.
Enables MCP clients to operate Google Flow through a visible browser, supporting login, project tracking, reference upload, generation submission, and media download with local validation.