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Fermat MCP

by abhiphile
MIT License
5

numpy_mcp_matlib_operation

Perform matrix operations such as array creation, reshaping, concatenation, and transposition on the Fermat MCP server for efficient mathematical computations.

Instructions

Do matrix operations: rand-mat, zeros, ones, eye, identity, arange, linspace, reshape, flatten, concatenate, transpose, stack

Input Schema

NameRequiredDescriptionDefault
axisNo
dataNo
kNo
mNo
nNo
numNo
operationYes
shapeNo
startNo
stepNo
stopNo

Input Schema (JSON Schema)

{ "properties": { "axis": { "default": 0, "title": "Axis", "type": "integer" }, "data": { "anyOf": [ { "items": {}, "type": "array" }, { "type": "number" }, { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Data" }, "k": { "default": 0, "title": "K", "type": "integer" }, "m": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "M" }, "n": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "N" }, "num": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Num" }, "operation": { "title": "Operation", "type": "string" }, "shape": { "anyOf": [ { "items": {}, "type": "array" }, { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Shape" }, "start": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "title": "Start" }, "step": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "title": "Step" }, "stop": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "title": "Stop" } }, "required": [ "operation" ], "type": "object" }

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