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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
np_arrayB

Create a NumPy array from a list.

np_zerosB

Create an array of zeros.

np_onesA

Create an array of ones.

np_fullC

Create an array filled with a constant value.

np_arangeC

Create an array with evenly spaced values within a given interval.

np_linspaceB

Create an array with evenly spaced numbers over a specified interval.

np_eyeC

Return a 2D identity array.

np_diagC

Create a diagonal array or extract the diagonal of an array.

np_reshapeB

Give a new shape to an array without changing its data.

np_transposeA

Reverse or permute the axes of an array.

np_concatenateB

Join a sequence of arrays along an existing axis.

np_splitC

Split an array into multiple sub-arrays.

np_tileA

Construct an array by repeating the input array the given number of times.

np_repeatC

Repeat elements of an array.

np_squeezeB

Remove single-dimensional entries from the shape of an array.

np_flattenB

Return a flattened copy of the array.

np_sumB

Sum of array elements over given axis(es).

np_meanA

Compute the arithmetic mean along the specified axis.

np_stdB

Compute the standard deviation along the specified axis.

np_varC

Compute the variance along the specified axis.

np_minA

Return the minimum of an array or minimum along an axis.

np_maxA

Return the maximum of an array or maximum along an axis.

np_argminB

Return the indices of the minimum values along an axis.

np_argmaxA

Return the indices of the maximum values along an axis.

np_dotB

Compute the dot product of two arrays.

np_matmulB

Matrix product of two arrays.

np_crossB

Compute the cross product of two arrays.

np_traceB

Return the sum along the main diagonal of the array.

np_cumsumB

Return the cumulative sum of the array along a given axis.

np_cumprodA

Return the cumulative product of the array along a given axis.

np_diffB

Calculate the n-th discrete difference along the given axis.

np_invA

Compute the (multiplicative) inverse of a matrix.

np_detC

Compute the determinant of an array.

np_eigA

Compute the eigenvalues and eigenvectors of a square array.

np_svdC

Singular Value Decomposition.

np_solveB

Solve a linear matrix equation, or system of linear equations.

np_linalg_normB

Matrix or vector norm.

np_randC

Random values in a given shape.

np_randnB

Return a sample (or samples) from the "standard normal" distribution.

np_randintB

Return random integers from low (inclusive) to high (exclusive).

np_random_choiceC

Generates a random sample from a given array.

np_shuffleA

Modify a sequence in-place by shuffling its contents.

np_percentileC

Compute the q-th percentile of the array elements.

np_quantileC

Compute the q-th quantile of the array elements.

np_histogramB

Compute the histogram of a set of data.

np_correlateB

Cross-correlation of two 1-dimensional sequences.

np_corrcoefB

Return Pearson product-moment correlation coefficients.

np_addB

Element-wise addition of two arrays.

np_subtractA

Element-wise subtraction of two arrays.

np_multiplyA

Element-wise multiplication of two arrays.

np_divideC

Element-wise division of two arrays.

np_powerB

Element-wise exponentiation of array elements.

np_modA

Element-wise modulo of two arrays.

np_sqrtB

Return the non-negative square root of an array element-wise.

np_absA

Calculate the absolute value of array elements.

np_expA

Calculate the exponential of all elements in the array.

np_logA

Natural logarithm, element-wise.

np_log10B

Base-10 logarithm, element-wise.

np_sinA

Trigonometric sine, element-wise.

np_cosB

Trigonometric cosine, element-wise.

np_tanA

Trigonometric tangent, element-wise.

np_arcsinB

Inverse sine, element-wise.

np_arccosB

Inverse cosine, element-wise.

np_arctanB

Inverse tangent, element-wise.

np_sinhB

Hyperbolic sine, element-wise.

np_coshA

Hyperbolic cosine, element-wise.

np_tanhC

Hyperbolic tangent, element-wise.

np_shapeB

Return the shape of an array.

np_ndimA

Return the number of dimensions of an array.

np_sizeA

Return the total number of elements in an array.

np_dtypeB

Return the dtype of an array.

npastypeC

Copy of the array, cast to a specified type.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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