"A map or mapping-related information" matching MCP servers:

Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.

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 lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

Enables AI assistants to control a Blender instance through MCP tools, supporting scene creation, editing, and asset exchange via HTTP and background CLI processes.

A professional implementation of a Model Context Protocol server that enables integration between DaVinci Resolve video editing software and AI assistants like Claude Desktop or Cursor.

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.

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

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

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.

A Model Context Protocol server that allows AI assistants to generate music through the Suno API, supporting custom lyrics and style inputs or inspiration-based creation.

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.

MCP server that transforms cognitive state into generative music by mapping 13 epistemic vectors to Strudel live coding patterns, with mood presets and a web UI for interactive control.

A local-first MCP server that enables AI coding assistants to map codebases, transcribe onboarding videos with keyframe screenshots, and maintain structured Obsidian knowledge vaults directly from IDE chat.

Enables comprehensive video file analysis including extracting metadata, stream information, bitrate calculations, and generating technical reports. Supports all FFmpeg-compatible video formats with output in JSON, text, or Markdown formats.

A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.

Enables AI-powered YouTube video analysis including transcript management, video summaries, chapter generation, keyword extraction, and playback control. Supports searching videos, retrieving channel/playlist information, and translating transcripts using Google Gemini AI.

Enables users to stream or download YouTube video information and direct links via the Ytstream API. It supports geographic optimization and language selection for better download speeds and audio availability.

A Model Context Protocol server that integrates with VOICEVOX engine to provide text-to-speech synthesis and speaker information retrieval, allowing users to generate and play voice audio from text.

Dynamically loads ComfyUI workflows as MCP tools, enabling AI assistants to generate images, videos, and audio by executing workflows across categories like text-to-image, image-to-video, and text-to-audio with automatic parameter mapping and progress monitoring.