
Twitch MCP Server
@mtane0412/twitch-mcp-server
一个与Twitch API交互的模型上下文协议服务器,提供频道信息、直播详情、游戏数据等多种功能。
安装状态
已补齐
工具数量
0
GitHub Stars
3
命令预览
npx @mtane0412/twitch-mcp-server

@mtane0412/twitch-mcp-server
一个与Twitch API交互的模型上下文协议服务器,提供频道信息、直播详情、游戏数据等多种功能。
安装状态
已补齐
工具数量
0
GitHub Stars
3
命令预览
npx @mtane0412/twitch-mcp-server

@vonage/vonage-mcp-server-api-bindings
This server integrates a variety of Vonage's APIs as tools to help developers work with their applications.
安装状态
已补齐
工具数量
14
GitHub Stars
3
命令预览
VONAGE_APPLICATION_ID={VONAGE_APPLICATION_ID} VONAGE_PRIVATE_KEY64={VONAGE_PRIVATE_KEY64} VO...
MCP Server是一个基于YouTube-Summarizer API的工具集,为AI应用提供视频摘要功能,目前仅支持本地连接。
安装状态
已补齐
工具数量
0
GitHub Stars
3
命令预览
docker run -i --rm youtube-summarizer-mcp
NijiVoice MCP是一个基于FastMCP的语音合成API服务,提供声优列表获取、文本转语音生成和信用余额查询功能。
安装状态
已补齐
工具数量
0
GitHub Stars
2
命令预览
uv run fastmcp dev server.py
一个使用OpenAI文本转语音API为LLM提供语音功能的MCP服务器。
安装状态
已补齐
工具数量
1
GitHub Stars
1
命令预览
npm install && node build/index.js\"

@smithery/cli
Rendi MCP Server是一款基于云的FFmpeg处理服务,通过API提供视频和音频的转换、编辑、链式处理等功能,适用于需要云端音视频处理的AI助手和开发者。
安装状态
已补齐
工具数量
0
GitHub Stars
1
命令预览
npx @smithery/cli install rendi-mcp-server

@modelcontextprotocol/inspector
一个连接Claude与Spotify的MCP服务器,提供播放控制、音乐搜索和队列管理功能。
安装状态
已补齐
工具数量
0
GitHub Stars
1
命令预览
npx @modelcontextprotocol/inspector uv --directory /Users/varun/Documents/Python/spotify_mcp...
一个基于自然语言和多种相似性算法创建和管理Spotify播放列表的服务,支持音频特征分析和流派匹配。
安装状态
已补齐
工具数量
0
GitHub Stars
1
命令预览
uv run mcp dev server.py
一个用于从YouTube视频中提取转录文本的MCP服务器,支持多语言转录,便于AI模型如Claude使用。
安装状态
已补齐
工具数量
2
GitHub Stars
1
命令预览
python3 -m venv venv
一个基于Resemble AI API的语音生成服务器,支持与Claude和Cursor集成,提供文本转语音和语音模型列表功能。
安装状态
已补齐
工具数量
2
GitHub Stars
0
命令预览
python -m src.cli --implementation mcp --port 8083
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
MCP server that lists applications and phone numbers, and initiates outbound calls via Fonoster.
Enables Claude Desktop and Agents to generate AI avatars and videos through the HeyGen API, providing tools to create and manage avatar videos with specified text and voice options.
安装状态
已补齐
命令预览
uvx heygen-mcp --env {\\\"HEYGEN_API_KEY\\\": \\\"\u003Cyour_api_key>\\\"}\"
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.
An intelligent middleware system that enables natural language interactive control of Universal Robots collaborative robots, allowing users to connect to and control industrial robots through voice/text commands with MCP-compatible LLMs.

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]
supercollider-mcp
安装状态
已补齐
命令预览
npx @makotyo/mcp-supercollider命令来启动服务器。