Nimbus BCI for Gemini CLI
io.github.nimbusbci/nimbus-mcp
AI agents build, train, and analyze BCI/EEG pipelines: data, models, experiments, live sessions.
client:Gemini CLI
transport:streamable-http
runtime:pypi
tools:32
Install Nimbus BCI in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"nimbus-mcp": {
"httpUrl": "https://nimbus-mcp.fly.dev/mcp"
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs
What Gemini CLI can do once it is connected
- account.whoami
- catalog.nodes
- catalog.node_schema
- catalog.templates
- catalog.template
- catalog.datasets
- catalog.leaderboard
- pipeline.validate
- pipeline.validate_node
- execution.run
- execution.cancel
- execution.get
- execution.list
- execution.results
- experiment.run
- experiment.get
- execution.artifacts
- execution.download_artifact
- pipeline.export
- device.list
- device.test
- stream.start
- stream.status
- stream.stop