neurochat
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- FlicenseAqualityBmaintenanceExposes NeuroGraph's scientific API to AI models as MCP tools, enabling them to query, analyze, and visualize brain networks — regions, tracts, connectivity, literature, and cross-species homologies — drawn from a portable SSD-based neuroimaging data library. Lets models read real atlas data, load datasets, compute graph metrics, and produce visualization scene descriptors without acting as the scientific engine itself.122-
- AlicenseNot gradedqualityAmaintenanceEnables LLMs to build and explore a cognitive neuroscience-inspired knowledge graph with SQLite, supporting search, graph traversal, temporal sequences, and structured reasoning.24MIT
- FlicenseBqualityBmaintenanceEnables 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 2.0.4-
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TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose: loading atlases and volumes, listing regions, navigating, display settings, overlays, ROI statistics, volume arithmetic, screenshots, and script export. No two tools could be confused.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., load_atlas, list_regions, compare_volumes). Even 'screenshot' is a common noun-as-verb, fitting the pattern. No mixing of styles.
With 10 tools covering loading, exploration, visualization, statistics, comparison, and export, the set is well-scoped for neuroimaging analysis. Each tool earns its place without unnecessary redundancy.
The tools cover core workflows: data loading, region inspection, navigation, display, statistics, and script export. Minor gaps exist, such as missing histogram or filtering capabilities, but the surface is sufficient for reproducible exploration.