nimbus-mcp

Tools

32 tools: 24 read-only, 4 change data, 4 high risk (delete, pay, send or run code).

No tool name points to sending messages.

read-only

Only reads or looks things up. Safe for an agent to call on its own.

changes data

Creates, edits or sends something. Worth a person's approval the first time.

high risk

Can delete, pay, send on your behalf or run code. Hard or impossible to undo.

Connecting costs an agent about 6,752 tokens of tool definitions and a 516 ms handshake.

• high riskexecution.runStart a pipeline run (NON-BLOCKING). Returns executionId - poll with execution.get() until status is completed/failed, then execution.results().
• high riskexecution.cancelCancel a running execution.
• high riskexperiment.runRun 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_concurrent, 2)), retries queue-full up to 3 times per run, and polls each execution to completion. Poll experiment.get() for per-run status...
• high riskstream.stopStop 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 stop.
• changes datastream.startConnect 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 watchdog: if no stream.status()/stream.telemetry() poll happens for idle_timeout_sec (default 900), the session is stopped and the device di...
• changes datadata.uploadUpload 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. 250.0) is REQUIRED for plain CSV/TSV/TXT files without embedded metadata - the backend silently assumes 250 Hz otherwise, which mis-time...
• changes dataproject.createCreate a project (container for one pipeline document). Returns projectId.
• changes dataproject.saveSave a pipeline graph into a project (visible on the studio canvas). Handles revision conflicts automatically (one retry).
• read-onlyaccount.whoamiWho 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 expires. Call this first when setup guidance appears or to check which credential a session uses.
• read-onlycatalog.nodesList Nimbus pipeline node types (data, preprocessing, features, models...). Use catalog.node_schema(node_type) for one node's full config schema and ports.
• read-onlycatalog.node_schemaFull config JSON schema + input/output ports for one node type.
• read-onlycatalog.templatesList built-in starter pipelines (MI/P300/SSVEP...). catalog.template(id) returns the graph.
• read-onlycatalog.templateFull template incl. the 'train' execGraph needed by execution.run/pipeline.validate.
• read-onlycatalog.datasetsCurated public EEG datasets (MOABB packs) available to pipelines.
• read-onlycatalog.leaderboardPublic benchmark leaderboard: pipeline rankings per dataset. Rankings are per-dataset under the canonical ``within_session`` protocol (see ``protocol``). Within each dataset, ``rows`` are sorted desc by ``meanAccuracyPct`` (95% CI in ``ciLoPct``/``ciHiPct``). Use ``pipelineId`` as the template id...
• read-onlypipeline.validateValidate a pipeline graph before running. ExecGraphSnapshot: {nodes: [{id, type, config}], connections: [{from, to}]}. Build it from catalog.template(id).train or from scratch using catalog.nodes().
• read-onlypipeline.validate_nodeValidate one node's config object against its schema (catalog.node_schema).
• read-onlyexecution.getExecution status summary (status: running/completed/failed/cancelled).
• read-onlyexecution.listRecent executions. Optional status filter (running/completed/failed/cancelled).
• read-onlyexecution.resultsMetrics for a completed run. Trimmed by default (accuracy, kappa, ITR, confusion matrix, per-class); full=True returns the complete result object.
• read-onlyexperiment.getExperiment snapshot: status (running/completed/failed), per-run rows ({name, executionId, status, error?, metrics?}) and, once finished, aggregates {metric: {mean, std, best: {name, value}}} over completed runs only (std = population; None below 2 values).
• read-onlyexecution.artifactsTrained artifacts (models/filters, e.g. *.pkl) saved by an execution.
• read-onlyexecution.download_artifactDownload one artifact file to NIMBUS_EXPORT_DIR/executions/<id>/ and return its path.
• read-onlypipeline.exportExport the pipeline as a standalone runnable Python bundle (zip saved locally).
• read-onlydevice.listEEG devices supported by this backend (OpenBCI, Muse, BrainBit, LSL, PiEEG...).
• read-onlydevice.testTest a device connection WITHOUT starting a stream (safe, no confirm needed).
• read-onlystream.statusLive snapshot of a streaming session (running, deviceConnected). Polling this also feeds the idle watchdog: each call resets the session's idle timer (see stream.start's idle_timeout_sec).
• read-onlystream.telemetryLive snapshot of a streaming session: latest prediction + recent window, signal quality (meanChannelQuality, snrDb, artifactProbability), indicators, running stats. Poll this while a session runs. Live telemetry requires a DEPLOYED model session (hub deploy / playback with a classifier); modelles...
• read-onlydata.inspect_datasetExploratory summary of a public EEG dataset (MOABB pack): channels, sampling rate, trial/class balance, per-channel µV stats, band powers and a PSD overview. Look at the data BEFORE building pipelines: class balance drives stratification choices (imbalanced classes skew accuracy), and flatlined c...
• read-onlydata.inspect_fileExploratory 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 PSD overview. The path shape picks the source: ABSOLUTE path → read the file from disk (only on a LOCAL backend: desktop app / MCP local mo...
• read-onlyproject.listList projects owned by the current principal (agent work included).
• read-onlyproject.loadLoad a project's saved pipeline (train graph + meta) for editing/re-running.

Levels are automated estimates from each tool's public name, description and annotations, and can be wrong. Descriptions as the server publishes them.

Status

Newest check: answered with tools, from the daily check, 2026-10-05, 516 ms.

From one check a day over the last 1 day. Servers whose owner verified them are checked every 5 minutes. Sign-in and payment answers count as up.

Last 30 days

2026-09-062026-10-05

answered with toolssign-in or payment askednot answeringnot checked

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Badge

Live: status, days reachable, the tokens its tool list costs an agent. For a README:

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Status widget

A live status card for a status page, docs or a dashboard: current status, the 30-day strip, uptime and handshake time.

Script (renders where it is placed, in its own shadow DOM):

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Or an iframe:

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The widget is drawn only from 7it.co.il. Is a status shown elsewhere genuine? Check it: /7maps/verify/badge?server=nimbus-mcp.fly.dev%2Fmcp.

Add ?theme=light or ?theme=dark to either address (default: follows the visitor's setting). Refreshed every 5 minutes. Open the card · script.

For AI agents

Before connecting, an agent can ask 7Maps for this server's full condition, every tool's risk level and what changed since a person approved it: the road_conditions, watch and route tools on https://7it.co.il/7maps/mcp, paid per call in USDC via x402. About 7Maps.