"Search results for 'Clarik'" matching MCP servers:

Enables AI agents to lip-sync video to a different audio track via LipDub 2, including creating renders, checking statuses, and retrieving results.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables AI assistants to generate and edit images using Google's Gemini 2.5 Flash Image API with intelligent prompt enhancement. Supports text-to-image generation, image editing with natural language instructions, and advanced features like character consistency and multi-image blending.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Enables searching, retrieving metadata, and downloading YouTube videos or audio without requiring an API key. It utilizes yt-dlp to support media retrieval and playlist management within MCP-compliant clients like Claude and Cursor.

Enables Claude and other AI assistants to generate high-quality images up to 4K resolution using Google's Gemini image models, with support for flexible aspect ratios, natural language editing, and Google Search grounding for accurate results.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

A Model Context Protocol server that converts diverse file types, including PDFs, images, audio, and Office documents, into Markdown format. It also transforms web content like YouTube transcripts and Bing search results into readable text for model consumption.

Enables text extraction from images and PDF files using the ZhipuAI GLM-OCR API. It allows users to process documents through local file paths or base64-encoded data for high-quality OCR results.

Converts various file types (PDF, images, audio, DOCX, XLSX, PPTX) and web content (YouTube videos, web pages, Bing search results) into Markdown format for easy reading and sharing.

Enables AI assistants to operate Adobe After Effects with the dexterity of an editor: reading projects, creating and rigging layers, setting real velocity curves, animating text, building native SVG-based shapes, applying effects, expressions, masks, and viewing render snapshots to verify results.

Execution control layer for AI agents - Reserve, execute, burn/refund pattern for media generation

Enables Claude or any AI agent to operate Live 12 Intro end to end: creating tracks and scenes, writing and quantizing MIDI clips, loading audio onto the Arrangement timeline, setting device parameters in real units, drawing clip automation, mixing with real sidechain, and rendering or analyzing audio so the agent can check its own work. It exposes 57 tools over MCP or a local JSON socket, working within the stock Intro edition's 16-track, 16-scene limits.

ModelRunner is a hosted remote MCP server that lets AI assistants run 100+ AI models. One connection exposes every model as a callable tool: search the catalog, inspect a model's input schema, run inference with run_model, and get results back as hosted URLs directly in the conversation.

Enables AI agents to author, validate, render, measure, and fix 2D rigs and animations through 16 tools, returning results as images and providing a live editor bridge.

Enables editing inside an open Premiere Pro project by reading the real timeline, applying cuts and transcript-based cleanup in place, and verifying results with rendered frames from the Program Monitor.

Enables AI agents to control Autodesk Flame through MCP using multiple execution paths such as the Flame Python API, native commands, raw Python, UI automation, and other tools, with observation and verification of results.

A local MCP bridge that lets AI agents build and edit real TouchDesigner networks by creating and wiring operators, setting parameters and expressions, validating the network, and viewing rendered image previews to iterate on results.

Lets AI agents read frame-accurate video review notes — timestamps, frames, annotations, and pointing targets tied to source elements — so they can fix rendered videos and re-check the results. Supports listing reviews, retrieving annotated frames, watching for new feedback, acknowledging, replying, resolving, dismissing, and leaving their own critique notes.

Enables Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.