Summary
Brings NumPy's entire numerical computing toolkit into Claude through MCP. You get all the essentials: array creation (zeros, ones, arange, linspace), manipulation (reshape, transpose, concatenate), mathematical operations (sum, mean, dot, matmul), linear algebra (inv, det, eig, svd), and random number generation. Also exposes element-wise operations like trig functions, logarithms, and arithmetic, plus statistics tools like percentile, histogram, and correlation. Install via pip, add the command to your MCP config, and you can start running matrix operations, solving linear systems, or computing eigenvalues without spinning up a separate Python environment. Solid choice when you need numerical computation without leaving your Claude workflow.
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →mcp-numpy
An MCP server that exposes NumPy functionality
Install
pip install mcp-numpy
Usage
As an MCP Server
To use with Claude Desktop or other MCP clients, add to your mcp.json:
{
"mcpServers": {
"mcp-numpy": {
"command": "mcp-numpy"
}
}
}
Available Tools
The server exposes the following NumPy functionality as MCP tools:
Array Creation
np_array- Create a NumPy arraynp_zeros- Create zeros arraynp_ones- Create ones arraynp_full- Create array filled with valuenp_arange- Create array with rangenp_linspace- Create evenly spaced arraynp_eye- Create identity matrixnp_diag- Create diagonal array
Array Manipulation
np_reshape- Reshape arraynp_transpose- Transpose arraynp_concatenate- Concatenate arraysnp_split- Split arraynp_tile- Tile arraynp_repeat- Repeat elementsnp_squeeze- Remove single-dimensional entriesnp_flatten- Flatten array
Mathematical Operations
np_sum,np_mean,np_std,np_var- Summary statisticsnp_min,np_max,np_argmin,np_argmax- Min/max operationsnp_dot,np_matmul,np_cross- Matrix operationsnp_trace,np_cumsum,np_cumprod,np_diff- Array operations
Linear Algebra
np_inv- Matrix inversenp_det- Matrix determinantnp_eig- Eigenvalues and eigenvectorsnp_svd- Singular value decompositionnp_solve- Solve linear systemnp_linalg_norm- Matrix/vector norm
Random
np_rand- Random floatsnp_randn- Random normalnp_randint- Random integersnp_random_choice- Random choicenp_shuffle- Shuffle array
Statistics
np_percentile,np_quantile- Percentiles/quantilesnp_histogram- Histogramnp_correlate,np_corrcoef- Correlation
Element-wise Math
np_add,np_subtract,np_multiply,np_divide- Arithmeticnp_power,np_mod- Power and modulonp_sqrt,np_abs- Basic mathnp_exp,np_log,np_log10- Logarithmsnp_sin,np_cos,np_tan- Trigonometrynp_arcsin,np_arccos,np_arctan- Inverse trignp_sinh,np_cosh,np_tanh- Hyperbolic
Array Properties
np_shape,np_ndim,np_size,np_dtype- Propertiesnpastype- Type conversion
Development
git clone https://github.com/daedalus/mcp-numpy.git
cd mcp-numpy
pip install -e ".[test]"
# run tests
pytest
# format
ruff format src/ tests/
# lint
ruff check src/ tests/
# type check
mypy src/
mcp-name: io.github.daedalus/mcp-numpy
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →