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.
Enables AI assistants to search the web using Google Search via Gemini grounding, returning a summarized answer with inline citations and a list of source URLs.
Enables AI clients to run local semantic search over your own documents and code in Chinese or English, with embeddings computed on an Intel NPU. Also lets clients check index status and trigger reindexing.
Enables AI agents to search, retrieve, and analyze SEC 10-K filings with hybrid BM25+kNN retrieval, per-claim citations, and strict numeric grounding verification.
Enables advanced reasoning for large language models through Monte Carlo Tree Search and Beam Search, allowing exploration of multiple reasoning paths and improved decision-making.
Enables agents to find lines in local text files by meaning rather than exact keywords, judging each nonblank line against a natural-language intent and returning scores for every line. It complements lexical search by running locally over stdio and calling a hosted model for the semantic comparison.
Enables any calling model to search public X content through Grok's native search using an existing local OAuth login, returning summaries, structured posts, source URLs, and search counts while sharing cached and concurrent searches across local terminals.
Provides AI-powered search, web search, image search, video search, news search, and web scraping via Kivest AI Search API, with smart rate limiting and request queuing.
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.
Enables agents to run durable video and image generation jobs through the user's own signed-in Google account, with idempotent job tracking, automatic quality-check and finishing, and delivery-ready local files. Also exposes browser session control and Google Workspace tools (Gmail, Drive, Sheets, Docs, Calendar) over MCP.
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 MCP clients to perform X/Grok searches through xAI's server-side search tool using the Responses API, returning upstream results without rewriting.
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 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.
A Model Context Protocol server that uses Google Vertex AI and Gemini 3.5 Flash to perform deep research with high thinking capability and live Google Search grounding, enabling intelligent, multi-source research via a single tool.
An advanced MCP server that provides an agentic interface to Google's Gemini 3.1 models via Vertex AI, combining real-time Google Search, URL analysis, and Python code execution to solve complex multi-step research and data tasks.
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.