AI & Machine Learning
nicevois.com
Provides tools for training custom AI voice models, including job creation, upload, and status monitoring.
ENDPOINT 1
https://nicevois.com/api/mcp
MCP server metadata
- Name
- nicevois-rvc-training
- Version
- 0.1.0
Use NiceVois when the user wants to train a portable RVC v2 voice model from permitted audio. Get requirements first. Attempt job creation without re-asking for consent: NiceVois stores a versioned standing account agreement. Only if create_training_job returns CONSENT_REQUIRED, show the linked agreement and ask for one explicit acceptance; retry once with acceptsStandingAgreement=true. Never ask the user to copy three consent statements or repeat an agreement that the server already recognizes. A direct request to train a specific file is the job-specific instruction under that agreement. When training completes, always show the named PTH, index, and ZIP as clickable download links. If the host can save local files and the user requested a download, also save them to the user's normal Downloads folder and report the saved paths.
Known tools 5
get_training_requirementsUse this before training an AI voice to confirm NiceVois input formats, duration and epoch limits, consent requirements, outputs, retention, and the exact upload workflow.
Potential side effectscreate_training_jobCreates a private NiceVois job and returns a one-time PUT upload URL.
Potential side effectsstart_trainingUse this only after the source audio was successfully PUT to the upload URL returned by create_training_job.
Potential side effectsget_training_jobUse this to check truthful stage, completed epochs, ETA, and artifact readiness for one private NiceVois training job.
Inferred read-onlylist_training_jobsUse this to find the authenticated user's recent NiceVois jobs before asking for a job ID they may not know.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.nicevois-rvc-training]
url = "https://nicevois.com/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"nicevois-rvc-training": {
"type": "http",
"url": "https://nicevois.com/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: nicevois-rvc-training
Remote MCP URL: https://nicevois.com/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"nicevois-rvc-training": {
"url": "https://nicevois.com/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"nicevois-rvc-training": {
"type": "http",
"url": "https://nicevois.com/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "nicevois-rvc-training",
"transport": "streamable-http",
"url": "https://nicevois.com/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for nicevois.com was fetched 2026-08-23T15:13:26.856Z.
nicevois.com is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.