Enables AI clients to access virome datasets and external bioinformatics APIs through MCP tools, including Wikipedia, PubMed, NCBI Taxonomy, read-only SQL over S3 Parquet, pandas/Plotly analyses, and map visualizations, while keeping the client decoupled from data and business logic.
Enables AI tools to access and contribute to shared semantic memory, supporting search, capture, and curation of knowledge across multiple brains via the MCP protocol.
Exposes a bio-hybrid neuromorphic simulation pipeline (SNN, consciousness proxies, wetware integration) as MCP tools, resources, and prompts for AI assistants.
Enables LLM agents to programmatically inspect hardware resources, run in-memory inference benchmarks, list supported fMRI studies, and retrieve cortical and subcortical atlas region indices via JSON-RPC 2.0.
Exposes a bio-hybrid neuromorphic simulation pipeline (SNN LIF+STDP, consciousness proxies, ethics monitor) as MCP tools, resources, and prompts to AI assistants.
An MCP server that gives AI assistants conversational access to MNE-Python for analyzing neurophysiology data (EEG, MEG, sEEG, ECoG, fNIRS). Enables plain-language analysis pipelines, from loading recordings to generating figures and explanations.
