neurochat
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- AlicenseNot gradedqualityBmaintenanceEnables a connected LLM to inspect brain MRI slices as crops and montages with coordinates, compare a region against its mirrored hemisphere, and review the pipeline's candidate hotspots. It lets the model write prioritised "area to review" annotations that appear live in the browser viewer, and move or read the clinician's crosshair position.MIT
- 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.123-
- AlicenseNot gradedqualityCmaintenanceEnables LLMs to build and explore a cognitive neuroscience-inspired knowledge graph with SQLite, supporting search, graph traversal, temporal sequences, and structured reasoning.24MIT
- AlicenseNot gradedqualityCmaintenanceEnables vision-language-model agents to examine clinical CT volumes the way a clinician does — orbiting and zooming the 3D view, applying volume-rendering presets, clipping, scrolling slices, measuring HU and distances, and showing or isolating segmented structures — using only named, range-checked tools with no code execution. Every call is logged with its arguments, resulting state and rendered frames so runs can be audited, replayed and scored as training data.Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables searching and reading public neuroscience data from DANDI, OpenNeuro, NeuroMorpho, Allen, and BrainGlobe directly from a coding agent, including remote NWB slices with license and citation information.MIT
- 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-
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.