edge-tts-mcp
This is a Text-to-Speech (TTS) service based on Model Context Protocol (MCP), using Microsoft Edge TTS engine.
Install / Use
claude mcp add eraincc -- npx -y github:eraincc/edge-tts-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of edge-tts-mcp
edge-tts-mcp scores 45/100 on our quality scale, 4347th of 4,635 Development & Engineering skills we index.
Its MCP Server is 974 bytes long, split into 4 sections with 1 code example: fairly brief, so expect to fill in details yourself.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 17 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-10-19 found the source still online.
- It is released under LGPL-3.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
edge-tts-mcp compared with similar skills
All 4 of these similar skills score higher than edge-tts-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| edge-tts-mcp (this skill)by eraincc | 45 | 3 | 17mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 105.7k | 4d ago | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 104.7k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.2k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 67.2k | 1d ago | CLAUDE.md |
Frequently asked questions
- How do I install edge-tts-mcp?
- Run
claude mcp add eraincc -- npx -y github:eraincc/edge-tts-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does edge-tts-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is edge-tts-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is LGPL-3.0-licensed and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is edge-tts-mcp still maintained?
- The repository was last updated about 17 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHubedge-tts-mcp
This is a Text-to-Speech (TTS) service based on Model Context Protocol (MCP), using Microsoft Edge TTS engine.
Features
This service provides two main tools:
list_voice: Get available voice list, equivalent toedge-tts --list-voicescommand functionalitytts: Convert text to speech and return generated audio file and subtitle file paths
Requirements
- Python >= 3.11
- Internet connection (for accessing Microsoft Edge TTS service)
Note: TTS service uses Microsoft TTS engine, poor network connectivity will affect service calls.
Installation
Runtime environment requires Python and UV to be installed first
Add the following content to the MCP configuration:
{
"mcpServers": {
"edge-tts-mcp": {
"command": "uvx",
"args": [
"edge_tts_mcp"
]
}
}
}
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
