"Examples of DeepSeek-related applications or projects" matching MCP servers:

A local multimodal recognition workbench that uses your Edge/Chrome session to access DeepSeek Web, exposing MCP tools for recognizing images, documents, audio, and video with privacy-preserving temporary processing.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

Enables agents to synthesize text with local IndexTTS zero-shot voice cloning and send the result as QQ voice messages through OneBot, with a health-check tool for service, model, and gateway status.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Local MCP server that adds multimodal capabilities to text-only models like Codex/DeepSeek, offering tools for image description, audio transcription, video analysis, image/video generation, and speech synthesis.

Enables MCP clients such as Claude Code, Codex and Cursor to retrieve timestamped transcripts of public YouTube videos, either from cache, from native captions, or via asynchronous audio-generation jobs that are polled by job ID. It returns the source URL, selected language and millisecond-offset segments without summarizing the video itself.

MCP server for SpeechWeave transcription, enabling AI assistants to transcribe local files and URLs via wait-first or async tools.

MCP server for Whipscribe — transcribe audio and video from a URL or local file via Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP-compatible client.

Enables Claude to fetch the spoken text of YouTube videos from any URL or video ID, listing available captions and languages and paging through long transcripts. It also handles proxy configuration to work around YouTube IP blocks.

Extracts transcripts or spoken captions from multi-platform video links (Bilibili, YouTube, Douyin) and returns concise Markdown summaries or full transcripts, saving tokens by keeping full text out of the conversation.

Enables transcription of YouTube videos by using available captions or falling back to actual audio with local Whisper ASR and multiple free providers. It supports job status, transcript retrieval and search, audio excerpts, and export formats while keeping source links and timestamps.

Enables access to a backend's native MCP tools and broader HTTP API for speech generation, voice cloning/design, transcription, dubbing, translation, subtitles, audiobooks, and related batch/long-form workflows over Streamable HTTP or local stdio.

An official Model Context Protocol (MCP) server that enables AI clients to interact with ElevenLabs' Text to Speech and audio processing APIs, allowing for speech generation, voice cloning, audio transcription, and other audio-related tasks.

Enables AI agents to query a local, continuously recorded Mac audio timeline, including speaker-labeled transcripts, topic-organized events, projects, todos, daily summaries, insights, and long-term memories.

A MCP server that enables transcription of audio files using OpenAI's Speech-to-Text API, with support for multiple languages and file saving options.

Transcribe YouTube videos for LLM chat applications. Supports fetching transcripts in multiple languages and includes an ad-removal instruction.

Enables podcast producers and agents to manage multitrack projects, run per-track transcription, perform transcript-driven edits, process audio via FFmpeg, and inspect a read-only DAW timeline over MCP.

Provides text-to-speech capabilities through the Model Context Protocol, allowing applications to easily integrate speech synthesis with customizable voices, adjustable speech speed, and cross-platform audio playback support.

Enables coding agents to participate in voice calls, speaking replies while continuing their work and accepting spoken input or interruptions within the same conversation. It delivers voice input into Claude Code, Codex, Cursor, or custom HTTP endpoint workflows.

Transcribe public videos and audio (YouTube, TikTok, Instagram, Facebook, Pinterest, Google Drive) into accurate, timestamped text from Claude, ChatGPT, Cursor or any MCP client. Spanish, English and dozens of languages auto-detected. Poll-based (transcription takes minutes), same free-beta limits as the app. Docs: https://justtranscribe.ai/mcp