"How to Test Kubernetes Network Policies" matching MCP servers:

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

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

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

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 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.

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.

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.

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

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.

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.

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.