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MCP server for Sber SaluteSpeech API — speech recognition and synthesis.
MCP server for Sber SaluteSpeech API — speech recognition and synthesis.
Valid MCP server (2 strong, 4 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
12 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: SALUTE_AUTH_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-theyahia-salutespeech-mcp": {
"env": {
"SALUTE_AUTH_KEY": "your-salute-auth-key-here"
},
"args": [
"-y",
"@theyahia/salutespeech-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
MCP server for Sber SaluteSpeech API — speech recognition (STT) and synthesis (TTS). 5 tools.
Part of Russian API MCP (50 servers) by @theYahia.
{
"mcpServers": {
"salutespeech": {
"command": "npx",
"args": ["-y", "@theyahia/salutespeech-mcp"],
"env": { "SALUTESPEECH_API_KEY": "your-base64-key" }
}
}
}
claude mcp add salutespeech -e SALUTESPEECH_API_KEY=your-key -- npx -y @theyahia/salutespeech-mcp
SALUTESPEECH_API_KEY=your-key npx @theyahia/salutespeech-mcp --http --port=3000
# POST http://localhost:3000/mcp
# GET http://localhost:3000/health
Three options (checked in order):
| Env var | Format |
|---|---|
SALUTESPEECH_API_KEY | Base64-encoded client_id:client_secret |
SALUTE_AUTH_KEY | Same (legacy alias) |
SALUTE_SPEECH_CLIENT_ID + SALUTE_SPEECH_CLIENT_SECRET | Raw credentials (auto-encoded) |
OAuth tokens (scope SALUTE_SPEECH_PERS) are obtained and refreshed automatically.
Get credentials at developers.sber.ru.
| Tool | Description |
|---|---|
recognize_speech | STT from Base64 audio |
synthesize_speech | TTS, returns Base64 audio |
list_models | List recognition models and synthesis voices |
get_task_status | Check async recognition task status |
recognize_file | STT from a local file path |
skill-transcribe — guided workflow for audio transcriptionskill-synthesize — guided workflow for speech synthesisTranscribe the audio file /tmp/meeting.wav
Synthesize "Hello world" with voice Bys_24000 in wav16 format
List available voices
MIT
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