Neuroencoder EEG embeddings

Connect Remote server

claude mcp add --transport http eeg-embeddings https://api.neuroencoder.com/mcp --header "Authorization: Bearer <YOUR_API_KEY>"

{
  "mcpServers": {
    "eeg-embeddings": {
      "url": "https://api.neuroencoder.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

{
  "servers": {
    "eeg-embeddings": {
      "type": "http",
      "url": "https://api.neuroencoder.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://api.neuroencoder.com/mcp

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools 8 found in our last check

• account

  This API key: tier, limits and usage this month.

• list_samples

  Precomputed real outputs (no upload needed): ids, titles, sizes, download URLs.

• get_sample

  One sample: README, licence, channels_used, and its embeddings in the POST /v1/embeddings response format (first windows only for long ones).

• create_upload

  Start an upload of a local .edf, .bdf or .npy file (at most 2 GB). Returns id and a presigned upload_url: PUT the file there within 10 minutes with exactly upload_headers (e.g. curl -X PUT --upload-file night.edf -H 'Content-Length: N' '<upload_url>', no Authorization header), t…

• start_embedding_job

  Queue an embeddings job on an uploaded file. window_seconds: 2 to 30 (default 30); stride_seconds: default window_seconds. picks: EDF/BDF channel labels to keep; channel_names: 10-20 labels overriding the file's; sfreq: required for .npy. Bills 30 s of EEG per window at any wind…

• start_sleep_staging_job

  Queue sleep staging of an uploaded whole-night PSG (.edf/.bdf; >= 1 EEG channel with a 10-20 label at >= 100 Hz; EOG used if present). eeg_channel/eog_channel: channels for the YASA features; picks, channel_names as for embeddings. Counts 1 night of the weekly quota (refunded on…

• get_job

  A job's status (queued, running, succeeded, failed, cancelled, expired), usage, error or result. Poll every 5 s while queued or running.

• get_result_url

  Fresh presigned GET URLs (10 minutes) of a succeeded job's result. Embeddings: .npy float32 [windows, 768], window i starts at i * t_start_step s. Sleep staging: url = hypnogram JSON (stage, probabilities, confidence per 30 s epoch), csv_url = CSV, plus the summary.

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