Aman Amith Shastry Scientific_computation_mcp
by ai.smitherycommunityv1.13.1
2
3
An MCP server for symbolic and numeric scientific computation on stored tensors, including linear algebra, vector calculus, and basic plotting. It lets clients create, view, delete, and manipulate matrix/vector tensors and compute derivatives and visualizations.
From the registry: This MCP server enables users to perform scientific computations regarding linear algebra and vect…
Install & configure
Prerequisites
- required
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `aman-amith-shastry-scientific_computation_mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Smithery API Key** — Required to run the server via Smithery CLI (https://smithery.ai/account/api-keys)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","@smithery/cli@latest","run","@Aman-Amith-Shastry/scientific_computation_mcp","--key","<YOUR_SMITHERY_API_KEY>"]
Note: Scientific computation MCP with tools for tensor storage, linear algebra (matrix operations, eigenvalues, SVD, QR, etc.), vector calculus (gradient, curl, divergence, laplacian), and visualization (2D/3D function and vector field plots).
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Note: Scientific computation MCP with tools for tensor storage, linear algebra (matrix operations, eigenvalues, SVD, QR, etc.), vector calculus (gradient, curl, divergence, laplacian), and visualization (2D/3D function and vector field plots).
Tools (26)
create_tensor
Creates a new tensor from a name, shape, and values and stores it.
view_tensor
Displays the contents of a tensor from the store.
delete_tensor
Deletes a tensor from the store by name.
add_matrices
Adds two compatible matrices.
subtract_matrices
Subtracts two compatible matrices.
multiply_matrices
Multiplies two compatible matrices.
scale_matrix
Scales a matrix by a factor, in place by default.
matrix_inverse
Computes the inverse of a matrix.
transpose
Computes the transpose of the inverse of a matrix.
determinant
Computes the determinant of a matrix.
rank
Computes the rank of a matrix.
compute_eigen
Calculates eigenvectors and eigenvalues of a matrix.
qr_decompose
Computes the QR factorization of a matrix.
svd_decompose
Computes the singular value decomposition of a matrix.
Remote Endpoints
https://server.smithery.ai/@Aman-Amith-Shastry/scientific_computation_mcp/mcp
type: streamable-http
Details
- Language
- Python
- License
- MIT
- Released
- Sep 12, 2025
- Last commit
- Sep 2, 2025
- Registry name
- ai.smithery/Aman-Amith-Shastry-scientific_computation_mcp