Nimbus BCI

Name: Nimbus BCI
Author: nimbusbci

MCP serverMCP

AI agents build, train, and analyze BCI/EEG pipelines: data, models, experiments, live sessions.

by nimbusbcirepository ↗homepage ↗v0.8.1NIMBUS MCP SERVER — SOFTWARE LICENSE AGREEMENT …

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability19/19 checks ok

30 days ago

Tools observed via MCP handshake

account.whoami — Who you are authenticated as: account email, plan (isPro / pioneer), this month's free-run quota, and — with a hosted token — the token name and days until it e
catalog.nodes — List Nimbus pipeline node types (data, preprocessing, features, models...). Use catalog.node_schema(node_type) for one node's full config schema and ports.
catalog.node_schema — Full config JSON schema + input/output ports for one node type.
catalog.templates — List built-in starter pipelines (MI/P300/SSVEP...). catalog.template(id) returns the graph.
catalog.template — Full template incl. the 'train' execGraph needed by execution.run/pipeline.validate.
catalog.datasets — Curated public EEG datasets (MOABB packs) available to pipelines.
catalog.leaderboard — Public benchmark leaderboard: pipeline rankings per dataset. Rankings are per-dataset under the canonical ``within_session`` protocol (see ``protocol``). Withi
pipeline.validate — Validate a pipeline graph before running. ExecGraphSnapshot: {nodes: [{id, type, config}], connections: [{from, to}]}. Build it from catalog.template(id).train
pipeline.validate_node — Validate one node's config object against its schema (catalog.node_schema).
execution.run — Start a pipeline run (NON-BLOCKING). Returns executionId — poll with execution.get() until status is completed/failed, then execution.results().
execution.cancel — Cancel a running execution.
execution.get — Execution status summary (status: running/completed/failed/cancelled).
execution.list — Recent executions. Optional status filter (running/completed/failed/cancelled).
execution.results — Metrics for a completed run. Trimmed by default (accuracy, kappa, ITR, confusion matrix, per-class); full=True returns the complete result object.
calibration.start — Start a guided subject calibration session (NON-BLOCKING; confirm-gated — the device goes on a human's head). The Nimbus Studio app shows the cues on its calibr
calibration.status — Live snapshot of a calibration session (phase, current trial, progress, paused). Once complete, carries the recorded upload — call calibration.train to turn it
calibration.pause — Pause a running calibration between trials (cues hold; resume anytime).
calibration.resume — Resume a paused calibration session.
calibration.train — Train the subject's own classifier from a COMPLETED calibration session (NON-BLOCKING). Fetches the recorded upload, wires it into a train pipeline as a custom_
experiment.run — Run 1-25 pipelines as ONE paced experiment (NON-BLOCKING). Returns an experimentId immediately; a background thread submits at most 2 runs at a time (min(max_co
experiment.get — Experiment snapshot: status (running/completed/failed), per-run rows ({name, executionId, status, error?, metrics?}) and, once finished, aggregates {metric: {me
execution.artifacts — Trained artifacts (models/filters, e.g. *.pkl) saved by an execution.
execution.download_artifact — Download one artifact file to NIMBUS_EXPORT_DIR/executions/<id>/ and return its path.
pipeline.export — Export the pipeline as a standalone runnable Python bundle (zip saved locally).
bids.export_dataset — Export a Nimbus dataset as a BIDS-layout zip saved to NIMBUS_EXPORT_DIR/bids/. Continuous sources (EDF/BDF uploads, stream recordings) export as BIDS-raw (EDF
bids.export_execution — Export an execution's results as a BIDS-derivative zip (metrics.json, per-subject participants.tsv, protocol.json, full pipeline_snapshot.json, predictions.tsv
device.list — EEG devices supported by this backend (OpenBCI, Muse, BrainBit, LSL, PiEEG...).
device.test — Test a device connection WITHOUT starting a stream (safe, no confirm needed).
stream.start — Connect an EEG device and START a live streaming session on the user's head. Requires confirm=True; call device.test first. Track with stream.status(). Idle wat
stream.status — Live snapshot of a streaming session (running, deviceConnected). Polling this also feeds the idle watchdog: each call resets the session's idle timer (see strea
stream.stop — Stop a streaming session and disconnect the device (always safe to call). Also removes the session from the idle watchdog so it cannot fire after an explicit st
stream.telemetry — Live snapshot of a streaming session: latest prediction + recent window, signal quality (meanChannelQuality, snrDb, artifactProbability), indicators, running st
data.upload — Upload an EEG file (.edf/.bdf/.mat/.csv/.txt/.tsv/.h5/.hdf5, <=500MB) to the backend and get the registered path for a custom_data node. sampling_rate (Hz, e.g
data.inspect_dataset — Exploratory summary of a public EEG dataset (MOABB pack): channels, sampling rate, trial/class balance, per-channel µV stats, band powers and a PSD overview. L
data.inspect_file — Exploratory summary of an EEG file (.edf/.bdf/.mat/.csv/.tsv/.txt/.h5): channels, sampling rate, trial/class balance, per-channel µV stats, band powers and a PS
project.create — Create a project (container for one pipeline document). Returns projectId.
project.list — List projects owned by the current principal (agent work included).
project.save — Save a pipeline graph into a project (visible on the studio canvas). Handles revision conflicts automatically (one retry).
project.load — Load a project's saved pipeline (train graph + meta) for editing/re-running.
python.validate — Statically check a python_model script (BYO model class) without running it. Compiles the source and verifies the contract — a class with fit(X, y, info) and p

Provenance

Where this record came from

Every source is kept verbatim. Field changes are logged as events.

Official MCP Registryio.github.nimbusbci/nimbus-mcp

first seen 5 d ago · fetched 2 d agoopen ↗

PyPInimbus-mcp

first seen 6 d ago · fetched 3 d agoopen ↗

Field history (12 recent events)

2 d ago · declared · version → "0.8.1"
3 d ago · declared · homepageUrl → "https://github.com/nimbusbci/nimbus-mcp"
3 d ago · observed · packageFacts → {"name":"nimbus-mcp","registry":"pypi","publishedAt":"2026-10-05T17:05:52.244495Z","latestVersion":"0.8.1"}
3 d ago · declared · license → "NIMBUS MCP SERVER — SOFTWARE LICENSE AGREEMENT\n \n …"
5 d ago · declared · description → "AI agents build, train, and analyze BCI/EEG pipelines: data, models, experiments, live sessions."
5 d ago · declared · name → "Nimbus BCI"
5 d ago · declared · summary → "AI agents build, train, and analyze BCI/EEG pipelines: data, models, experiments, live sessions."
5 d ago · declared · publisherName → "nimbusbci"
5 d ago · declared · repoUrl → "https://github.com/nimbusbci/nimbus-mcp"
5 d ago · declared · version → "0.6.1"
6 d ago · declared · description → "# nimbus-mcp\n\nMCP server that lets AI agents (Claude Code, Cursor, Claude Desktop) build, validate,\nrun, and analyze
6 d ago · observed · packageFacts → {"name":"nimbus-mcp","registry":"pypi","publishedAt":"2026-10-04T02:12:24.420018Z","latestVersion":"0.3.1"}

when	check	result	http	latency	detail
5 h ago	mcp initialize	ok	200	133 ms	server nimbus 0.10.0 · protocol 2025-06-18 · 40 tools
11 h ago	mcp initialize	ok	200	191 ms	server nimbus 0.10.0 · protocol 2025-06-18 · 40 tools
19 h ago	mcp initialize	ok	200	3485 ms	server nimbus 0.10.0 · protocol 2025-06-18 · 40 tools
25 h ago	mcp initialize	ok	200	190 ms	server nimbus 0.10.0 · protocol 2025-06-18 · 40 tools
31 h ago	mcp initialize	ok	200	114 ms	server nimbus 0.9.2 · protocol 2025-06-18 · 39 tools
2 d ago	mcp initialize	ok	200	212 ms	server nimbus 0.9.1 · protocol 2025-06-18 · 39 tools
2 d ago	mcp initialize	ok	200	120 ms	server nimbus 0.9.0 · protocol 2025-06-18 · 39 tools
2 d ago	mcp initialize	ok	200	109 ms	server nimbus 0.8.3 · protocol 2025-06-18 · 37 tools
2 d ago	mcp initialize	ok	200	111 ms	server nimbus 0.8.3 · protocol 2025-06-18 · 37 tools
3 d ago	mcp initialize	ok	200	102 ms	server nimbus 4.0.11 · protocol 2025-06-18

Nimbus BCI

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