"Campaign Monitor" matching MCP servers:

Enables AI agents to generate videos from text prompts, monitor job status, retrieve completed videos, and cancel ongoing generation tasks through stdio-based MCP tools.

Enables LLMs to capture screenshots and screen recordings through MCP with chunked session-based transfers for reliable image consumption. Supports multi-monitor selection, timeline capture, and compatibility with both vision and non-vision language models.

Enables local AI agents to autonomously manage video channels and series, generate AI videos, search archives, and monitor rendering pipelines on yzturkey.com.

Enables AI agents to create, monitor, and download video transcodes through the FFmpeg Micro REST API.

Enables AI agents to monitor screen regions for changes or stillness, returning numeric scores and timestamps instead of pixels, so agents can wait for activity or detect frozen UI without capturing images.

Enables AI assistants to remove backgrounds from images using the Poof API via URLs, file paths, or base64 encoding. It also allows users to monitor their account information and remaining credit balance.

Enables agents to manage video composition projects, run linting, render videos, capture snapshots, and monitor/cancel long-running jobs via MCP.

An MCP server that integrates with a local ComfyUI, allowing assistants to list and run workflows, monitor progress, and view results, as well as read and edit the live workflow canvas via an optional bridge node.

Enables video generation through OpenAI's Sora 2 API, allowing users to create, monitor, and manage AI-generated videos. It also provides tools for merging video clips and creating fade animations from static images using FFmpeg.

Enables AI assistants to capture screenshots and read clipboard content from Windows applications while operating within a WSL environment. It supports monitor or window-specific targeting and features intelligent image optimization for efficient data transfer.

Enables interaction with the Move AI UGC GraphQL API for markerless motion capture, allowing users to upload footage, create takes, run single- and multi-camera processing jobs, monitor progress, and download output files.

Captures full-monitor screenshots and returns them as base64 inline or saved file. Supports macOS, Linux, Windows, and WSL2.

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.

Enterprise-grade screenshot capture server for AI agents with multi-format support, PII masking, multi-monitor support, and security controls for capturing full screens, specific windows, or custom regions across Linux, macOS, and Windows.

Production-grade MCP server wrapping SkyFi's satellite imagery platform API. Enables AI agents to conversationally search, price, order, and monitor satellite imagery through the Model Context Protocol.

Gives AI coding assistants real-time screen capture capabilities with multi-monitor support, PDF text extraction, and answer logging.

An MCP server for capturing screen regions directly into Claude Code conversations via hotkeys or tool calls. It provides Windows-specific screen snipping with multi-monitor support, persistent storage, and automatic management of captured images.

Enables Claude to generate images through a local ComfyUI instance using Stable Diffusion and SDXL models via natural language. Users can trigger image generation, list available checkpoint models, and monitor the ComfyUI queue status directly from their MCP client.

An MCP server that provides LLM agents with direct access to webcam hardware for capturing high-resolution photos and recording video sequences. It enables autonomous agents to monitor environments and interact with the physical world through standard Model Context Protocol tools.

Lets an LLM see what's on your screen by capturing an entire monitor or a specific application window.