numpy_mcp_numerical_operation
Perform numerical operations such as addition, subtraction, multiplication, division, and advanced functions like matrix operations, statistics, and trigonometry using Fermat MCP's integration with NumPy.
Instructions
Do numerical operation like add, sub, mul, div, power, abs, exp, log, sqrt, sin, cos, tan, mean, median, std, var, min, max, argmin, argmax, percentile, dot, matmul, inv, det, eig, solve, svd
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | ||
| axis | No | ||
| b | No | ||
| fill_value | No | ||
| new_shape | No | ||
| num | No | ||
| operation | Yes | ||
| q | No | ||
| shape | No | ||
| start | No | ||
| step | No | ||
| stop | No |
Input Schema (JSON Schema)
{
"properties": {
"a": {
"anyOf": [
{
"items": {},
"type": "array"
},
{
"type": "number"
},
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "A"
},
"axis": {
"default": 0,
"title": "Axis",
"type": "integer"
},
"b": {
"anyOf": [
{
"items": {},
"type": "array"
},
{
"type": "number"
},
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "B"
},
"fill_value": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Fill Value"
},
"new_shape": {
"anyOf": [
{
"items": {},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "New Shape"
},
"num": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Num"
},
"operation": {
"title": "Operation",
"type": "string"
},
"q": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Q"
},
"shape": {
"anyOf": [
{
"items": {},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Shape"
},
"start": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Start"
},
"step": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": 1,
"title": "Step"
},
"stop": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Stop"
}
},
"required": [
"operation"
],
"type": "object"
}