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This MCP server enables users to perform scientific computations regarding linear algebra and vector calculus through natural language. The server is designed to bridge the gap between users and powerful computational libraries such as NumPy and SymPy. Its goal is to make scientific computing more accessible.

Create and manage tensors to perform linear algebra, matrix decompositions, and vector operations. Analyze systems with determinants, eigenvalues, QR/SVD, projections, and basis changes, and compute gradients, divergence, curl, and Laplacians symbolically. Visualize functions and vector fields to explore behavior and validate results quickly.

Perform advanced numerical computations and array manipulations using NumPy through a standardized protocol. Enable your applications to leverage powerful mathematical operations seamlessly. Simplify integration of scientific computing capabilities into your workflows.