rvc-training

Train portable RVC v2 voice models from audio in the cloud and download the .pth, .index, and ZIP.

CommunityDegradedNo sign-inGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Train portable RVC v2 voice models from audio in the cloud and download the .pth, .index, and ZIP.

    How to connect

    How to connect rvc-training to Claude

    The server address to paste into Claude settings:

    https://nicevois.com/api/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect rvc-training to ChatGPT

    The server address to paste into ChatGPT settings:

    https://nicevois.com/api/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect rvc-training to Cursor

    The server address to paste into Cursor settings:

    https://nicevois.com/api/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (18)

    Raw names from tools/list. Only developers need these.

    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.
    get_training_accountCall before quoting or creating a training job. Returns the connected account's welcome-credit status, available and reserved balance, balance packs, and a private browser link that keeps checkout on this same agent identity.
    quote_trainingCall after inspecting the audio and before creating a job. Returns the exact payable amount, current balance, welcome-credit effect, shortfall, feasibility, and the private balance-page link when more balance is needed.
    create_training_jobCreates a private NiceVois job and returns a one-time PUT upload URL. Do not ask for consent before the first attempt because NiceVois remembers the current standing account agreement. If the server returns CONSENT_REQUIRED, ask for one acceptance of the linked standing agreement and retry once with acceptsStandingAgreement=true. This allocates a private training slot but does not start GPU work until the audio is uploaded and start_training is called.
    start_trainingUse this only after the source audio was successfully PUT to the upload URL returned by create_training_job. Starts the private cloud RVC training job.
    get_training_jobUse this to check truthful stage, completed epochs, ETA, and artifact readiness for one private NiceVois training job. Poll reasonably; do not call more often than every 15 seconds.
    list_training_jobsUse this to find the authenticated user's recent NiceVois jobs before asking for a job ID they may not know.
    get_conversion_requirementsUse this when a user wants to convert vocals with RVC or compare a normal RVC result with NiceVois cleaned consonants and breaths. Returns the real input formats, model choices, workflow, current free-beta policy, and outputs.
    list_voice_modelsUse this when the user wants to convert audio and you need to select one of their private NiceVois-trained or uploaded RVC voices. Do not ask for a model ID before calling this tool.
    create_voice_model_importUse this when the user wants to convert with an existing private RVC .pth file or complete model ZIP instead of a voice trained in their NiceVois library. Returns a one-time PUT upload instruction. After uploading, call list_voice_models to select the imported voice.
    create_voice_conversionUse this when the user has selected a private voice model and wants to convert one vocal recording. Returns a private upload instruction. Upload only the source vocal, then call get_voice_conversion with the same conversion ID.
    get_voice_conversionUse this when checking one private NiceVois conversion. Poll no more than once every 10 seconds. Report the returned stage without inventing progress. When complete, present the NiceVois cleaned version first and use download_voice_conversion_output for the version the user requests.
    download_voice_conversion_outputUse after get_voice_conversion says the job is complete and the user wants the cleaned or standard output. Each download uses the source audio's duration from the account's conversion-download minutes. If the exact file was downloaded before, ask before retrying and then set confirmRepeat true.
    get_image_training_requirementsUse this when a user wants to train an image LoRA (a portable .safetensors style/subject model) from their own images without a local GPU. Returns the real image formats, counts, step range, base model, workflow, and pricing.
    quote_image_trainingUse this before creating an image training job. Returns the exact price for the requested steps and image count, whether the account's free run is still available, and whether the current balance covers it.
    create_image_training_jobUse after quote_image_training. Declares the images by name and size and returns one PUT upload URL per image slot. Upload every image before calling start_image_training. The first run per account is free; after that, image training is included with the NiceVois subscription.
    start_image_trainingUse this only after every image was successfully PUT to its upload URL from create_image_training_job. Starts the isolated cloud GPU training run.
    get_image_training_jobUse this to check truthful stage, progress percent, ETA, and the download link for one image training job. Poll reasonably; do not call more often than every 20 seconds - a typical run takes 20 to 60 minutes.