"Information about Google Chronicle" matching MCP servers:

Enables Claude, Cursor, or any MCP client to create consistent AI characters, generate Veo 3.1 and Omni videos, edit clips, build scenes, export MP4s, and chat with Google Flow's creative agent. Automates AI video production workflows such as reels, storyboards, and multi-shot stories through natural language, with credit guardrails and dry-run pricing.

Safe MCP server for Google Flow that opens a separate Chrome instance, handles authentication, and enables video generation and download, without affecting the main Chrome profile.

Local server that lets Claude Code and Claude Desktop drive NotebookLM and Google Flow through the user's own logged-in Edge or Chrome session instead of a paid API, covering notebooks, sources, cited answers, Studio outputs (audio/video overviews, slides, reports, mind maps, quizzes) and image/video generation with Veo. It also self-verifies the buttons, menus and internal calls it relies on and reports exactly what the provider changed.

Enables AI agents to direct, generate, and compile on-device videos with storyboards, keyframes, camera effects, and audio, then export them to Android's Gallery or Google Photos while adapting to device battery and thermal limits across Termux, ADB, or desktop.

Enables AI coding agents to generate cinematic video and image assets and perform autonomous timeline assembly, multi-track audio editing, chroma-key compositing, and local draft manipulation from conversational prompts.

An MCP server that reads and builds CapCut projects locally, enabling natural language queries about project contents, missing media, and creation of new edits including beat-synced cuts.

Exposes Google Gemini's Nano Banana image generation models to Claude, enabling text-to-image generation, image editing, and multi-image composition through natural language prompts.

An MCP server that parses Douyin share links and performs intelligent content analysis using the Doubao video understanding model. It provides structured outputs including video summaries, categorized outlines, and step-by-step tutorial information.

MCP server for GIF animation analysis. Provides metadata extraction, individual frame export, and per-frame timing information.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

About MCP server for image conversion, resizing, and merging — runs locally, no uploads

Enables AI-powered YouTube video analysis including transcript management, video summaries, chapter generation, keyword extraction, and playback control. Supports searching videos, retrieving channel/playlist information, and translating transcripts using Google Gemini AI.

Enables Claude Code to use Google Gemini AI capabilities for analyzing PDFs and images, generating and translating text, and reviewing code. Supports both CLI and API backends with different quota limits.

Generates high-quality images using Google's Imagen 3.0 model via the Gemini API with support for up to four images per request. It provides automated file management and creates HTML previews for seamless image viewing within MCP-compatible hosts.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

Enables generating, editing, and manipulating images using Google Gemini Flash 2.5 through natural language prompts. Supports text-to-image generation, image editing, multi-image composition, and batch processing with direct file management.

Enables text-to-speech conversion with smart language detection (using Google TTS for Chinese) and audio file playback with playback controls for Claude Desktop.

Generates videos using Google Gemini Veo from text prompts with optional aspect ratio settings.

An MCP server that lets Claude Desktop watch videos from YouTube, Instagram, Facebook, or direct URLs, extracting transcripts and key frames to summarize and answer questions about video content.

Gives coding agents the ability to hear and reason about audio by describing sounds, matching them to text, locating key moments, detecting realness, generating timelines, and critiquing soundtracks. It also lets agents synthesize and iteratively improve their own sounds in code.