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Bmorphism Say MCP Server

全面解析Bmorphism Say MCP ServerMCP 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，Bmorphism Say MCP Server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。

Encoding MCP

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。

Fonoster MCP Server

MCP server that lists applications and phone numbers, and initiates outbound calls via Fonoster.

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.

Quizlar MCP

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.

SEO Content Autopilot by Citedy

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.

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.

Tts MCP Server

A TTS server based on MCP

Enable AI agents to interact with Twitch streams by sending chat messages, managing polls and predictions, creating clips, analyzing chat activity, and moderating users. Automate stream title and category updates while leveraging intelligent user resolution and timeout duration suggestions for effective moderation. Simplify Twitch stream management and enhance viewer engagement through standardized AI tools.

VOICEPEAK MCP Server

Enables text-to-speech synthesis using VOICEPEAK software with support for custom narrators, emotions, and pronunciation dictionaries. Allows generating and playing audio files from text with configurable voice parameters.

MCP Youtube Transcript

一个用于获取YouTube视频转录文本的MCP服务器，支持多语言和分页功能。

MiniMax MCP JS

@smithery/cli

MiniMax MCP JS是一个基于JavaScript/TypeScript的多模态生成工具包，提供图像生成、视频生成、文本转语音等功能，适用于内容创作和AI辅助开发场景。

Mureka MCP 995b2e18

Mureka Model Context Protocol (MCP) 服务器提供歌词、歌曲和背景音乐生成的API服务，支持与Claude Desktop和OpenAI Agents等客户端交互。

Flstudio MCP Da927b90

一个连接Claude和FL Studio的MCP服务器，用于通过MIDI协议在FL Studio中实时生成音乐。

Youtube Data MCP Server

@smithery/cli

一个利用YouTube数据API实现的模型上下文协议（MCP）服务器，为AI语言模型提供与YouTube内容交互的标准化接口。

MCP Say

skills

TTS MCP Server

Fcpxml MCP Server

一款连接Final Cut Pro与AI的工具，通过53种工具将时间线XML转换为结构化数据，支持分析、编辑和生成操作。

Anki MCP 9bcf5541

github

通过Model Context Protocol (MCP)与Anki交互的程序化卡片管理服务，支持闪卡、牌组和复习流程的管理。

Suno MCP

基于Model Context Protocol (MCP)的服务器，通过Suno API生成音乐，支持自定义模式和灵感模式。