"Using Google Scholar for Conducting Deep and Critical Literature Reviews" matching MCP servers:

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

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Self-hosted MCP server for Google Flow that enables image and video generation, upscaling, and character consistency through your own Google account.

Enables MCP clients to discover OpenRouter image and video models, generate and edit images, create variations, launch and monitor video jobs, and save resulting media into authorized local project directories with cost controls.

MCP server that lets AI agents control Google Flow for generating images and videos using the user's own Google account. It provides tools for image generation, video creation, character and scene management, and UI discovery.

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.

Enables AI coding agents to autonomously generate images, music, and cinematic video directly from their coding environment by connecting to Google Labs and Google Flow through the user's Chrome session.

Enables AI agents to generate Nano Banana 2 images and Omni Flash/Veo 3.1 videos through Google Flow, with tools for checking render status and managing projects.

Enables generating images and videos in Google Flow through an automated browser session using your Google AI Pro subscription, without API keys or third-party credit fees.

Enables ChatGPT users to search and browse a private photo library, inspect metadata, and receive real image previews through read-only tools, while keeping encrypted sessions server-side.

Enables generating images and videos on Google Flow through browser automation using an authenticated Chrome session, with tools to connect, generate, download media, and manage characters and scenes.

Enables Claude Code to drive Google Flow through a shared, visible Chrome window controlled over CDP, exposing 26 tools for creating projects, handling login, preparing and submitting generations, and downloading or saving generated media.

Enables generating images and videos on Google Flow through browser automation using your Google AI Pro subscription, with image generation free and video consuming Flow credits.

MCP server that enables AI agents to control Google Flow for image and video generation using your own Google account.

This MCP server searches Google's public ads database and uses AI to analyze ad images/videos, with intelligent caching for performance.

MCP server for Google Veo 3.1 video generation. Supports text/video/image-based generation, extension, and interpolation with cost estimation and batch processing.

Enables AI agents to programmatically generate images and videos through the authenticated Google Flow web interface via a direct Chrome DevTools Protocol connection, exposing tools for media generation, project management, status checks, and asset downloads without requiring official API keys.

Enables AI agents to generate Google Flow videos and images and automate Scene Builder clip extensions through a user's own Chrome session.

Lets AI agents generate images in Google Flow by driving the real web app in a Chrome window you sign into once, selecting the model, aspect ratio, and image count from a prompt. Results can be downloaded at 1K, 2K, or 4K, all without an API key.

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.

Enables AI agents to drive Google Flow through a real Chrome profile to generate images, videos, characters, and scenes without sharing credentials.

Automates sports editorial graphic poster creation using Google Flow through a Playwright-based pipeline, exposing a FastMCP server for integration with MCP clients.

Lets an AI agent drive Google Flow (flow.google.com) through a locally logged-in Chrome profile to generate images, videos, characters, and scenes. Uses browser automation via the Chrome DevTools Protocol, so Google credentials are never shared with the agent.

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 users to generate images and videos on Google Flow through browser automation of an already signed-in Chrome session, downloading the finished media to disk without any API keys. It drives Flow's agent with a range of image and video models, plus reference images, first/last frames, and ingredient-based video jobs, while reusing the user's own Google AI Pro credits.

MCP server for searching images with Google

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.