← All launches
0 Report

Nimbus BCI

by FastDrop

MCP Verified 3 days ago Registry import free

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

AI agents build, train, and analyze BCI/EEG pipelines: data, models, experiments, live sessions. Official MCP Registry: io.github.nimbusbci/nimbus-mcp@0.5.1. Package/stdio server - no remote endpoint to probe.

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Package server from the official registry (no remote probe).

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.nimbusbci/nimbus-mcp and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.

Claim this listing

Tools this endpoint exposes

Read directly from the endpoint on 9 Oct 2026. Not supplied by the maker.

  • 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 expires. Call this first when setup guida

  • 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``). Within each dataset, ``rows`` are sorted desc

  • pipeline.validate

    Validate 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().

Is this tool yours?

Claim this listing and we’ll verify ownership before handing it over.

Sign in to claim this listing

Matched on shared tags and the tools their MCP servers actually expose.

Reviews

Sign in to leave a review.

No reviews yet.

Comments

Sign in to join the discussion.

No comments yet - start the discussion.