The official ElevenLabs MCP server
安装状态
已补齐
工具数量
0
GitHub Stars
1.4k
命令预览
pip install elevenlabs-mcp`。
The official ElevenLabs MCP server
安装状态
已补齐
工具数量
0
GitHub Stars
1.4k
命令预览
pip install elevenlabs-mcp`。
DeepSRT MCP Server 是一个提供YouTube视频摘要生成和转录提取功能的服务器,通过集成DeepSRT API和直接访问YouTube字幕实现实时处理。
安装状态
已补齐
工具数量
0
GitHub Stars
50
命令预览
npm install && npm run build\"
An MCP server for interacting with Zoom Cloud Recording transcripts
工具数量
4
GitHub Stars
10
This server enables AI models to send SMS messages and initiate Text-to-Speech calls programmatically using ClickSend's API with built-in rate limiting and input validation.
TIDAL MCP是一款基于用户自定义条件的个性化音乐推荐和播放列表管理服务,适用于音乐爱好者。
安装状态
已补齐
工具数量
0
GitHub Stars
39
命令预览
pip install --editable .
一个与VOICEVOX引擎集成的MCP服务器,提供语音合成和扬声器信息获取功能。
安装状态
已补齐
工具数量
2
GitHub Stars
0
命令预览
npm install && npm run build\"

mcp-remote
MCP server for YouTubeTranscript.dev — extract transcripts, manage history, and power AI assistants with YouTube content.
安装状态
已补齐
工具数量
5
GitHub Stars
0
命令预览
npx mcp-remote https://mcp.youtubetranscript.dev [object Object]
全面解析EncodingMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Encoding能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
安装状态
已补齐
命令预览
pip install encoding-devops
An AI-powered automation bridge for Adobe Premiere Pro that enables controlling video edits with natural language and automating workflows through Claude or other AI agents.

mcp-remote
Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs interactive quizzes with FSRS spaced-repetition scheduling so the material actually sticks. Every tool maps one-to-one to something a real learner does: ingest, quiz, track progress, review what's due. Built as a voice-first tutor (LiveKit + Deepgram + ElevenLabs); the MCP surface exposes the same primitives the voice agent uses internally, so your agent gets production-grade grading, STT-aware answer parsing, and the same FSRS scheduler that powers the consumer app. Three use cases: 1. "Quiz me on X." Call quiz_me(topic) — a composite tool that builds the deck and starts the quiz in one step. Then loop submit_answer → end_quiz. Grading is tier-1 exact match → phonetic fuzz → short LLM fallback (the same pipeline that ships in the voice product). 2. Study from a YouTube lecture. create_deck_from_youtube pulls the transcript, clusters it into concepts, and generates cards proportional to the video length. Poll get_job_status, then run the quiz loop. 3. Daily spaced-repetition review. get_study_recommendations returns exactly the cards due under the user's FSRS schedule, prioritised across all decks. Quizlar is the scheduler of record — your agent executes the plan instead of reinventing one each session. Auth: Bearer token (sk-qz-<32 chars>) for headless installs, or full OAuth 2.1 / DCR / PKCE for one-click clients (Smithery, Claude Connector). Mint keys at https://quizlar.app/settings/api-keys. 22 tools total. Voice and text equal-status. Education-first.
安装状态
已补齐
命令预览
npx mcp-remote https://mcp.quizlar.app/mcp/ [object Object]

mcp-remote
Full-stack AI marketing toolkit — scout X/Twitter and Reddit for trending topics, discover and deep-analyze competitors, find content gaps, publish SEO- and GEO-optimized articles with AI illustrations and voice-over in 55 languages, create social media adaptations for X, LinkedIn, Facebook, Reddit, Threads, Instagram, Instagram Reels, YouTube Shorts, and Shopify, generate lead magnets (checklists, swipe files, frameworks), ingest any URL (YouTube videos, web articles, PDFs, audio files) into structured content, ultra-cheap turbo articles from 2 credits, generate short-form AI avatar videos with subtitles, and run fully automated content autopilot. Powered by Citedy.
安装状态
已补齐
命令预览
npx mcp-remote https://mcp.citedy.com/mcp [object Object]
An MCP server that enables highly personalized music recommendations from TIDAL based on custom criteria, allowing users to create and manage playlists directly in their TIDAL account.
安装状态
已补齐
命令预览
pip install --editable .
一个用于在MacOS上运行应用程序的服务器应用。
安装状态
已补齐
工具数量
0
GitHub Stars
4
命令预览
npm install && pnpm run build\"
一个基于Flask的服务器,通过YouTube Data API搜索歌曲并获取视频链接,适用于音乐检索和视频链接获取场景。
安装状态
已补齐
工具数量
2
GitHub Stars
0
命令预览
pip install -r requirements.txt\"
全面解析AivisspeechMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Aivisspeech能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
全面解析MCP Server Jk4MCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,MCP Server Jk4能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
安装状态
已补齐
命令预览
pip install elevenlabs-mcp
全面解析MCP Elevenlab Scribe ASRMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,MCP Elevenlab Scribe ASR能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
安装状态
已补齐
命令预览
pip install -e .
全面解析Audiobookshelf MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Audiobookshelf MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Audio content search and discovery. Find audio tracks, search sound libraries, and browse audio metadata.
安装状态
已补齐
命令预览
npx -y smithery mcp add audioscrape
全面解析Audio Transcriber MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Audio Transcriber MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。