Access neuroscience research data and computational tools through a Python-based MCP server. Built for researchers and developers integrating neuroscience workflows into AI applications.
io.github.brain-bbqs/neuro
Local install
STDIO
No auth required
How models use it and what it is built for.
Access neuroscience research data and computational tools through a Python-based MCP server. Built for researchers and developers integrating neuroscience workflows into AI applications.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Brain Bbqs Neuro.
Paste any of these into Agent Studio after connecting Brain Bbqs Neuro.
Common questions about connecting and running Brain Bbqs Neuro.
What does the neuro MCP server do?
The neuro MCP server provides access to neuroscience research data and computational capabilities via a Python-based interface. It integrates with the Model Context Protocol to enable AI assistants to query and interact with neuroscience resources.
How do I install and run the neuro-mcp server?
Install using `npx @brain-bbqs/neuro-mcp@1.0.0`. The server runs over stdio transport, making it compatible with standard MCP clients. Refer to the official repository at io.github.brain-bbqs/neuro for detailed setup instructions.
What are the system requirements?
The server is Python-based and runs via Node.js (npx). You'll need Node.js installed to execute the install command. Specific Python version and dependency requirements are documented in the project repository.
Is there pricing or licensing information?
The registry metadata does not specify pricing or licensing terms. Check the GitHub repository at io.github.brain-bbqs/neuro for license details and any usage restrictions.
Where can I find documentation and examples?
The primary source is the GitHub repository io.github.brain-bbqs/neuro. The server uses stdio transport, so it integrates with any MCP-compatible client. Consult the repository's README for API schemas and example usage patterns.
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