"A server for finding stories" matching MCP servers:

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 an AI agent to drive a running Adobe After Effects, inspecting projects and editing comps, layers, effects, keyframes, text, masks, expressions, and rendered frames through natural language. It provides a small tool surface with dry-run validation and undo-grouped operations for safe autonomous use.

Enables MCP clients to operate local Adobe Premiere Pro projects, covering media ingest, bins, sequence and timeline editing, transitions, effects, keyframes, captions, markers, metadata, proxies, multicam, color, audio, and exports through 283 discoverable tools, 13 context resources, and 10 guided prompts. A bundled CEP panel provides the supported production bridge, with read-only connection verification and higher-level workflows for assembling product spots and motion-graphics demos.

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

Transforms DALL-E 3, DALL-E 2, and GPT-Image-1 into MCP-compatible tools for generating images from natural language descriptions, supporting batch creation, style control, and flexible sizing.

Enables AI assistants to search, generate, and manipulate u-he synth presets through natural language, including browsing libraries, randomizing presets, and merging multiple presets.

MCP server for Jianying (CapCut) AI-assisted editing, enabling natural language-driven draft generation, reference reuse, and batch template creation with safety checks.

A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.

Enables Codex to inspect a native After Effects project, make scoped edits, and render frames for review through a local macOS bridge. It exposes MCP tools that drive a named After Effects worker without requiring an in-app panel or separate chat client.

Enables AI agents to inspect and control Q-SYS audio/video systems via the QRC protocol over TCP, against a real Core or Q-SYS Designer emulator.

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.

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.

Enables AI assistants to download Instagram content including posts, videos, reels, stories, highlights, and profile pictures using Instaloader, with optional metadata and caption extraction.

Enables AI assistants to build, animate, inspect, and script fully editable Adobe After Effects projects through a bridge panel, including frame and storyboard review.

Open-source MCP server for AI image and video creation, enabling prompt library search, prompt enhancement, and media generation from Claude Code, Cursor, and other MCP hosts.

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.

A local text-to-image generation server that enables AI agents to generate images, manage models, and browse history using the Z-Image-Turbo model. It supports hardware acceleration across NVIDIA, Apple Silicon, and AMD GPUs via multiple MCP transport protocols.

Enables AI assistants to transcribe audio files from URLs or local paths using AssemblyAI's services, with support for speaker diarization, language detection, and asynchronous job management through a standardized MCP interface.

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.

This MCP server lets AI assistants drive Adobe After Effects through ExtendScript, exposing tools to inspect projects and compositions, add text, solid, and shape layers, set transforms and keyframes, apply effects, import footage, render, save, and run arbitrary JSX. Calls are queued one at a time and results return as JSON.