Weights & Biases MCP tools

Generate spatial weights for point data based on distance thresholds using GIS MCP Server. Define neighbors within a specified range and apply binary or inverse distance weights for geospatial analysis.

Update weights for a balancer pool on Osmosis using governance proposals. Input pool ID, assets, and mnemonic to sign the transaction.

Generate and save spatial weights for GIS analysis by reading a shapefile, applying methods like queen, rook, or knn, transforming weights if needed, and exporting them in GAL or GWT format.

Calculate portfolio weights using Inverse Volatility to achieve balanced risk allocation across assets.

Calculate a weighted sum of raster bands using specified weights to generate a single-band output, enabling precise geospatial data analysis. Input multi-band raster, define weights, and save the result to a destination file.

Define crease weights for specific edges in 3D models using edge identifiers and weight values to enhance mesh detailing and shaping.