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MCP 工具与服务目录

找到适合你的 MCP Server,快速完成接入

按功能、传输方式和来源整理 MCP Server,提供安装命令、配置方式、仓库与文档入口,方便你快速比较并接入合适的服务。

正式条目

87,640

可复制安装

36,828

最近生成

2026-05-22

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MCPollinations Multimodal MCP Server logo

MCPollinations Multimodal MCP Server

@pinkpixel/mcpollinations

A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model options.

安装状态

已补齐

工具数量

9

GitHub Stars

41

命令预览

npx -y @pinkpixel/mcpollinations {}

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MCP server for macOS text-to-speech functionality

安装状态

已补齐

工具数量

0

GitHub Stars

20

命令预览

npm install say-mcp-server\"

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A Node.js server implementing Model Context Protocol (MCP) for media processing operations, providing powerful video and image manipulation capabilities.

工具数量

10

GitHub Stars

28

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Rime MCP logo

Rime MCP

@smithery/cli

Rime MCP是一款基于Rime API的文本转语音服务,可将文本转换为高质量语音并通过系统音频播放。

安装状态

已补齐

工具数量

0

GitHub Stars

28

命令预览

npx -y @smithery/cli install @MatthewDailey/rime-mcp --client claude

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提供直播歌曲列表的读取工具,支持通过LLM接口访问直播主的歌曲列表,适用于音乐发现、内容创作工具和AI助手集成。

安装状态

已补齐

工具数量

0

GitHub Stars

3

命令预览

npx -y @smithery/cli login

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Vonage API Bindings MCP Server logo

Vonage API Bindings 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...

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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\"

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Quizlar MCP logo

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.

安装状态

已补齐

命令预览

npx mcp-remote https://mcp.quizlar.app/mcp/ [object Object]

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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]

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Enables AI video generation, replica management, conversational AI, lipsync, and speech synthesis through the Tavus API. Provides 29 tools across Phoenix replicas, video generation, personas, lipsync, and text-to-speech capabilities.

安装状态

已补齐

命令预览

npx -y @smithery/cli install @rakeshdavid/tavus-mcp --client claude

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TW

Twitch MCP Smithery

twitch-mcp-server@latest

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.

安装状态

已补齐

命令预览

npx -y twitch-mcp-server@latest --config C:/Users/\u003cyou\u003e/AppData/Roaming/twitch-mcp...

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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.

安装状态

已补齐

命令预览

npx voicepeak-mcp@latest

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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。

安装状态

已补齐

工具数量

0

GitHub Stars

60

命令预览

npx -y @smithery/cli install @icraft2170/youtube-data-mcp-server --client claude

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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。

安装状态

已补齐

工具数量

22

GitHub Stars

39

命令预览

npx -y github:nietus/anki-mcp

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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。

工具数量

0

GitHub Stars

25

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MCP Simple AivisSpeech logo

MCP Simple AivisSpeech

@shinshin86/mcp-simple-aivisspeech@latest

一个基于AivisSpeech引擎的MCP服务器,提供高质量的日语文本转语音功能,支持多种声音风格和参数配置,适用于AI助手和应用程序的语音输出需求。

安装状态

已补齐

工具数量

1

GitHub Stars

8

命令预览

npx @shinshin86/mcp-simple-aivisspeech@latest

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一个通过AppleScript和JXA自动化提供Final Cut Pro全面远程控制的MCP服务器,支持99种编辑工具,涵盖剪辑、AI功能、调色、360/VR等。

工具数量

99

GitHub Stars

6

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通过OSC协议控制Behringer X32/Midas M32等数字调音台的模型上下文协议服务器,支持通过自然语言指令实现全面调音控制。

工具数量

0

GitHub Stars

5