Scientific Computation MCP Server AI Agent
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.
Scientific Computation MCP Server handles repetitive tasks for you automatically. It can do 26 different things for you—just connect to it in one click.
Available Tools
Scientific Computation MCP Server can do 26 different things for you automatically. Here's what it can handle:
create_tensor
Creates a NumPy array (matrix) with a specified shape and values. Args: shape (list[int]): The shape of the resulting array as a tup...
view_tensor
Returns an immutable view of a previously stored NumPy tensor from the in-memory tensor store. Args: name (str): The name of the ten...
delete_tensor
Deletes a tensor from the in-memory tensor store. Args: name (str): The name of the tensor to delete. Raises: ValueErro...
add_matrices
Adds two stored tensors element-wise. Args: name_a (str): The name of the first tensor. name_b (str): The na...
subtract_matrices
Adds two stored tensors element-wise. Args: name_a (str): The name of the first tensor. name_b (str): The na...
multiply_matrices
Performs matrix multiplication between two stored tensors. Args: name_a (str): The name of the first tensor. ...
scale_matrix
Scales a stored tensor by a scalar factor. Args: name (str): The name of the tensor to scale. scale_factor (...
matrix_inverse
Computes the inverse of a stored square matrix. Args: name (str): The name of the tensor to invert. Returns: ...
transpose
Computes the transpose of a stored tensor. Args: name (str): The name of the tensor to transpose. Returns: ...
determinant
Computes the determinant of a stored square matrix. Args: name (str): The name of the matrix. Returns: ...
Common Questions
What is an AI Agent?
An AI agent is like having a personal assistant who does specific tasks for you. Instead of a general chatbot that just talks, AI agents actually do things—they can check your calendar, send emails, look up information, and handle repetitive work so you don't have to.
What is MCP (Model Context Protocol)?
MCP is simply the way AI agents plug into your apps and services. When you connect something like Scientific Computation MCP Server to Lyra, it lets the AI take actions on your behalf.
How do I use Scientific Computation MCP Server?
Just install it inside Lyra. It only takes a moment. After that, your AI can instantly use Scientific Computation MCP Server—no setup, no technical knowledge required.