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Speak text and task summaries offline using native system voices instantly.
This MCP tool claims to provide offline text-to-speech using native OS speech engines, with no required secrets and no declared remote network egress, so the overall risk appears low. The main considerations are local code execution/system speech access and a relatively weak supply-chain profile despite being open source.
The material explicitly states that no keys or environment variables are required. No API tokens, account credentials, or other sensitive authentication material are mentioned, so credential exposure risk appears low.
The description claims offline TTS, and neither the system checks nor the material declare any remote endpoints or network calls. Based on the provided facts, user text should not need to be sent to third-party services.
The system has flagged executes-code. To provide local speech output, the tool is expected to run a local server process and invoke native OS speech/audio capabilities. This is a normal local execution capability for this type of MCP tool, but it should still be run with least privilege.
The material only indicates that it takes text and sends it to the local speech engine for playback. It does not declare file read/write access, database access, browser access, clipboard access, or other broad data sources; no excessive data access is evident from the provided information.
The source is a third-party registry entry, but it has a public GitHub repository, which provides more transparency than a closed-source project. However, it has 0 stars, unknown maintenance status, and no declared license, so community validation and long-term maintenance signals are weak; source and dependencies should be reviewed before installation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "local-tts" yet — see the docs or source repo.
Please read the following task summary aloud using local TTS: 3 tickets completed today, 2 pending approval, and 1 needs follow-up tomorrow.
The system immediately speaks the task status and follow-up reminders using a local voice.
Announce this reminder with offline speech: Weekly meeting with the product team in five minutes. Prepare this week's progress and risk updates.
An offline spoken reminder is generated and played so the user can prepare for the meeting.
First compress the following into a three-sentence summary, then read it aloud with local speech: This project update includes milestone progress, blockers, next week's plan, and resource needs.
A concise summary is produced first, then the key points are spoken offline by the local speech engine.
Run local speech-to-text and text-to-speech with configurable engine switching.
Convert text to speech via one interface with local and cloud engines.
Transcribe speech on Linux and inject text into Claude via Tmux.
Enable low-latency local speech synthesis and playback control for AI agents.
Convert text into speech with Google TTS, voices, and style templates.
Convert text into lifelike speech with customizable voice, rate, volume, and pitch.