"Information about Test-Driven Development (TDD)" matching MCP servers:

A video enhancement MCP server that supports creating tasks, querying status, and synchronously enhancing videos with URL or local file input.

Provides intelligent access to GPAC multimedia framework's 8,600+ test cases, enabling AI assistants to answer questions about GPAC usage with precise, validated command-line examples. Users can ask natural language questions and get reliable GPAC commands for multimedia processing tasks like DASH streaming, MP4 encryption, and subtitle handling.

Enables AI assistants and applications to control Adobe After Effects through the Model Context Protocol for composition, layer management, and animation.

Provides video enhancement capabilities through MCP tools for creating, monitoring, and synchronously processing video enhancement tasks with configurable resolution options.

An MCP server that provides an interface for interacting with the Cloudinary API to manage media assets and cloud configurations. It enables secure resource management through API keys and OAuth2 authentication within MCP-compliant environments.

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.

Orchestrates 3D scene creation, camera paths, and physics-driven animations, bridging physics simulations with video rendering by defining scene graphs, binding objects to physics bodies, and exporting to React Three Fiber or Remotion.

Enables AI-driven MIDI composition with chord name support, interactive piano-roll preview, and multiple deployment modes.

An MCP server for Synthesizer V Studio 2 Pro on macOS that enables AI-driven composition and lyric input, including melody creation, lyric flowing, and phoneme tuning.

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.

Enables AI-powered video editing in IDEs through a pipeline-driven workflow, including proxy ingestion, motion graphics generation, and high-fidelity rendering.

An MCP server that enables AI assistants to manage content, media, and schemas within Cosmic CMS buckets. It allows users to perform CRUD operations on objects and types while providing tools for AI-driven text, image, and video generation.

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

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

Enables comprehensive audio file analysis and metadata extraction with specialized game audio development features, supporting batch processing of multiple formats and providing platform-specific optimization recommendations.

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 AI assistants to procedurally generate, edit, quantize, and export 2D retro pixel art textures and tilesets for game development, with built-in palettes, dithering, and pixel-level manipulation tools.

Enables AI-driven 3D modeling in Blender by providing tools to create primitives, apply modifiers and materials, set up lighting and cameras, capture viewport snapshots, export assets, inspect scenes, and execute Python commands via natural language.

A mock-first MCP server for audio generation that creates placeholder WAV files locally, enabling development and testing of audio workflows without APIs or costs.

Connects Claude to the Statonic video editor to enable vision-based reference video analysis and AI-driven project authoring. It allows for the direct generation of project variations and automated video structure identification through the Model Context Protocol.