"Coze" matching MCP servers:

Exposes podcast ingestion operations (listing, downloading, transcribing, summarizing, and searching) as MCP tools, with both stdio and HTTP transport, supporting multiple podcasts via configuration.

A local stdio MCP server that lets an Agent use configured multimodal providers to inspect images, video, audio, and music files, acting as a sensory layer for text-only LLMs.

MCP server that brings ElevenLabs to Claude Code — text-to-speech, sound effects, music generation, voice cloning, speech-to-speech, transcription, and voice isolation. 8 tools for industry-leading AI audio.

MCP server for Spotify that lets AI agents search music, control playback, and manage playlists via the Spotify Web API.

Connects any MCP-compatible AI assistant to Audacity, providing 132 tools for real-time audio editing, cleanup, mastering, and transcription — all running locally without cloud dependencies.

Enables agents to synthesize Chinese speech with Edge-TTS or offline Piper and generate engine-level timestamp SRT subtitles, including batch parallel synthesis and voice presets.

Enables local, CPU-only audio post-production through tools for denoising, LUFS loudness normalization, silence removal, format conversion, pitch shifting, and speed changes. Supports podcast and video platform loudness compliance workflows.

Enables creators to generate short-video voiceover scripts with platform-adapted hooks, key points, and closings, search a golden-quote library, split copy into subtitle lines with estimated timelines, get topic suggestions, and turn a topic into TTS audio plus SRT subtitles in one command. Runs fully locally and offline as part of a Chinese content-creation MCP suite.

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.

Transcribe audio/video files using Groq-hosted Whisper with word-level timestamps, automatic caching, and cost estimation, offering up to 9x savings over OpenAI Whisper.