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20 Best Email MCP Servers: compared and ranked, November 2026Ranked from 3,360 matching servers on stars, growth, downloads and maintenance. Updated .

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    MCP server that exposes OpenClaw Gateway tools to Claude Code and other MCP clients, enabling messaging, session management, scheduling, node control, web search, memory search, and TTS.
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    14 npm
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    MIT
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    Enables local Vietnamese ecommerce copy preparation, source-grounded RAG retrieval, offline voice previews, correction-memory feedback, hook review, and fine-tuning dataset preparation without publishing posts or approving audio.
    MIT
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    Connects Claude Desktop to Yodlee financial data, enabling account management, transaction queries, spending summaries, and audio narrations.
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    MIT
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    Enables decoding of acoustic signals such as fundamental frequency, speaking rate, jitter, and pause ratio together with semantic sentiment to infer high-dimensional emotional states and emit real-time expressive TTS prosody directives. It runs as a zero-dependency JSON-RPC 2.0 MCP server over stdio, exposing these capabilities as callable tools.
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    Enables remote management of HyperFrames video projects over Streamable HTTP, including project creation, file authoring, linting, validation, composition inspection, rendering, transcription, TTS, catalog access, documentation, and CLI operations.
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    An MCP server that converts short text summaries into spoken audio and plays them locally, designed for coding agents like Claude Code to announce task results.
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    Text to speech for MCP clients. Reads numbers, dates and order IDs correctly. 23 languages, six voices, every render watermarked. Free key with 100,000 characters, no card.
    4
    151 PyPI
    MIT
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    Image, video, chat and text-to-speech models (GPT Image, Gemini Image, Veo, Kling, Seedance, Claude, GPT, Gemini) behind one API key. generate_image returns a preview the model can see, and review_image has a vision model critique the result and propose a corrected prompt, so an assistant can generate, check and fix images on its own.
    6
    206 npm
    1
    MIT
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    Text to speech in 149 languages: MP3 links from any assistant. Free without an account. 2,253 voices; PRO adds HD voices, WAV, dialogue with a voice per speaker, Script mode timing and transcription.
    7
    47 npm
    MIT
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    Enables transcription and subtitling of Tunisian Derja mixed with French and English, speech and voiceover generation, translation, and Arabizi–Arabic script conversion inside MCP clients. It also supports speaker diarization, subtitle translation, transcript search, and audio editing.
    16
    470 npm
    MIT
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    Lets Claude and other MCP clients manage an Anki collection through AnkiConnect: create decks, add notes, import TSV/CSV files, search, edit, move, rename and delete cards, generate text-to-speech pronunciation audio into note fields, and sync with AnkiWeb. Changes are guarded by preview-and-confirm tokens, automatic backups, dry runs, and read-only or delete-disabled modes.
    17
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    MIT
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    Enables an AI assistant to have its recent code actions summarized aloud through system speakers, using offline native voices or cloud neural voices. It supports asynchronous playback and voice listing so users can hear what the agent did without reading the full response.
    3
    MIT
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    Lets AI assistants query available voices from an OpenAI-compatible TTS service and synthesize text into audio with a chosen voice, tone, and speed, returning a public audio URL instead of Base64 data.
    2
    12 npm
    MIT
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    Turns a YAML script into a narrated product tour video: a real browser follows the steps with a guided focus, captions and text-to-speech, and renders an MP4. Agents can read the script format, validate a script, dry-run it against the real site and render the video.
    8
    812 npm
    MIT
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    A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.
    3
    33 PyPI
    1
    MIT