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20 Best Speech & Transcription MCP Servers: compared and ranked, November 2026Ranked from 1,326 matching servers on stars, growth, downloads and maintenance. Updated .

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    Local Windows x64 MCP server for USB HID mouse control and optional voice dictation. Requires compatible uMouse hardware, firmware and x64 Node.js 22+. MCPB 0.1.1 packages the legacy 0.1.0 stdio runtime; shared-v2 is a separate source development path. The MCPB includes no cloud credentials, defaults speech recognition to disabled, and supports optional local Windows Speech.
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    MIT
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    Enables MCP clients to submit completed speech or typed text to a self-hosted decision engine and receive judgments such as ordinary speech, command, retained thought, uncertainty, or no action, along with session and decision inspection.
    3
    MIT
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    Enables AI assistants to control Anki Vector robots locally via natural language, providing tools for speech, motion, perception, and interaction without cloud dependency.
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    MIT
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    A server that enables Claude 3.7 and other AI agents to access VOICEVOX-compatible speech synthesis engines (AivisSpeech, VOICEVOX, COEIROINK) through the Model Context Protocol.
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    MIT
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    AI agents hire people for work they can't finish alone (data curation, red-teaming, scraping, transcription), paid via non-custodial USDC escrow on Base. Returns unsigned transactions and holds no keys.
    1
    Apache 2.0
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    Enables hands-free voice conversations with Claude using real-time speech recognition and text-to-speech on macOS. Creates a self-sustaining conversation loop where Claude can autonomously listen, respond, and continue the interaction without keyboard input.
    MIT
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    Enables Claude to act as an autonomous radio DJ, generating live-coded music with Strudel, making text-to-speech announcements, and responding to audience requests through a browser UI.
    AGPL 3.0
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    Integrates the Reachy Mini robot or its simulation with Claude Code to provide interactive physical feedback through emotions, speech, and celebratory animations. It features advanced capabilities like sentiment analysis, semantic problem search, and cross-project memory to enhance the developer experience.
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    MIT
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    Enables control of Pollen Robotics Reachy Mini robot through high-level emotional expressions and low-level motor commands, with support for vision, audio, and text-to-speech capabilities.
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    MIT
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    Enables Alexa+ agents to maintain auditable operational continuity across shifts by turning speech into verifiable state, persisting unresolved work, refusing unverified actions, and requiring human approval before executing and confirming high-risk tasks.
    MIT