"How to schedule daily MCP server actions" matching MCP servers:

Enables AI agents to control a Live2D desktop pet's expressions and actions via MCP protocol.

MCP server that converts PDF, video, web, and audio inputs into structured Markdown notes with support for checkpointing, batch processing, and Obsidian integration.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

Enables conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.

A local MCP server for Cursor that converts Markdown files and Mermaid diagrams to JPEG images with configurable dimensions and quality.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

Enables MCP clients to turn direct video URLs and chosen start/end times into ready-to-post vertical 9:16 MP4 clips with animated burned-in captions, thumbnails, and SRT files, including batch processing for multiple highlights.

Enables text-to-image generation using Zhipu AI's CogView-4 API. Supports generating images from text prompts with configurable size and quality parameters through MCP-compatible clients like Claude Desktop and Cline.

Provides governed MCP tools for a controlled, AI-assisted asset-change pipeline, featuring natural-language requests, mandatory approvals, execution-time revalidation, and complete audit.

Enables AI clients to generate animated videos from natural language prompts, handling scriptwriting, voiceover synthesis, and MP4 rendering.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.

Enables AI clients to control background Blender jobs over stdio so they can inspect a 3D character or companion model, calibrate its anatomy and named bones, bake and export animation, and numerically verify the persisted GLB for playback review. Includes a CLI, models and workspaces that stay local unless explicitly shared.

A Model Context Protocol server that converts PDF documents into PNG images through a simple MCP tool call.

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.

A Model Context Protocol server that converts SVG code to PNG images, offering two conversion methods (CairoSVG and Inkscape) with support for custom working directories.

Enables AI agents to clip videos, check credits, and schedule social media posts on Vugola, the AI video clipping platform.

Enables agents to put sensory stimuli directly into the user's UI through typed, policy-gated actions such as highlighting on-screen content, spawning persistent audio-visual presences, and holding reference artifacts.

A free, unlimited screen capture and recording MCP server for Python. Captures screenshots and records screen activity with no daily limits.

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.

Enables an LLM to actually watch videos, GIFs, animated WebP and static images by sampling scene-change frames into a single grid image alongside any available subtitle text, including Bilibili videos fetched through the official API. It also exposes metadata-only lookups for deciding whether a video is worth watching and a recent-frames mode for seeing how a clip ends.

Enables AI agents to monitor, manage, and operate a Tdarr transcoding farm by inspecting nodes, workers, queues, libraries, plugins, and job reports, and by triggering scans, requeues, and worker actions.

Enables AI clients to control Cascadeur locally for scene and rig inspection, body and finger animation, keyframes, physics actions, camera control, PNG previews, and FBX import/export via stdio MCP.

Enables MCP clients to control Millumin on macOS over OSC, including running actions, setting properties and masters, sending raw OSC, and querying feedback.

Enables AI agents to inspect and control vMix live production: import media, assemble multi-layer scenes, update titles, configure native transitions and stinger bindings, and create managed triggers for automated actions.

Enables MCP clients to observe and operate the Insta360 Studio desktop app on Windows, including session and window control, input actions, media import and info, and export verification.

Enables controlling Ecamm Live through natural language, including scene switching, overlays, audio mutes and volumes, cameras, sounds, markers, recordings, going live, and pre-show status checks, with confirmation for on-air actions.

Enables AI agents to build channels from video and audio playlists, start, schedule, sync, stop and monitor live broadcasts across YouTube, Facebook, Twitch, LinkedIn and X, and read stream analytics afterwards. Also covers project and scene editing, media library management with upload and encode workflows, and destination validation, over a stateless streamable HTTP endpoint authenticated with a LiveReacting API key.

Enables MCP clients to perform validated, authenticated project, timeline, media, marker, and export-queue operations in Adobe's video editor through a local UXP panel. It supports safe previews and explicit approval for destructive actions.

Enables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.

Enables AI agents to reverse-engineer how a YouTube or local video was made by turning it into timestamped storyboard sheets, native-resolution style frames, an audio strip with cut markers, pacing metrics, and a shot-by-shot A/V script. A bundled three-pass skill then guides the model through structure, visual design, and motion analysis to produce a recreation recipe, with no API keys required.

Connects coding agents to a local desktop toolbox for downloading media and torrents, converting files, managing chats and files, and planning system cleanup, with sensitive actions requiring user approval.

Enables creating faceless YouTube videos and Shorts from a topic, script or voiceover — with AI narration, visuals, captions and music — and publishing them to a connected channel on a schedule or immediately, all from within an MCP client.

Enables Claude to edit audio on Windows using the audio engine of the locally installed Audacity 4, covering splitting, trimming, converting, resampling, mixing, joining, inspecting, and chaining effects on files. It also installs an in-app Audacity 4 extension that adds export, split, import, and labeling actions directly to the editor's menus.

Enables AI agents to create polished product demo videos by controlling a real Chromium browser, recording actions, and rendering 1080p MP4s with narration, captions, and styled overlays.

Enables AI assistants to command and automate Adobe After Effects (2026, with 2025/2024 support) through validated, type-safe tools covering project, composition, layer, text, keyframe, effect, audio, and render operations. It bridges MCP clients to After Effects via an ExtendScript execution layer with approval-gated destructive actions and a simulation mode for testing without the app installed.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.