search_predefined_metrics
Search for predefined metrics in einsteinpy.symbolic.predefined to assist in symbolic mathematics and computer algebra tasks. Ideal for querying specific metrics within mathematical expressions and equations.
Instructions
Searches for predefined metrics in einsteinpy.symbolic.predefined.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Input Schema (JSON Schema)
You must be authenticated.
Other Tools from Symbolic Algebra MCP Server
- calculate_curl
- calculate_divergence
- calculate_gradient
- calculate_tensor
- convert_to_units
- create_coordinate_system
- create_custom_metric
- create_matrix
- create_predefined_metric
- create_vector_field
- differentiate_expression
- dsolve_ode
- integrate_expression
- intro
- introduce_expression
- introduce_function
- intro_many
- matrix_determinant
- matrix_eigenvalues
- matrix_eigenvectors
- matrix_inverse
- pdsolve_pde
- print_latex_expression
- print_latex_tensor
- quantity_simplify_units
- search_predefined_metrics
- simplify_expression
- solve_algebraically
- solve_linear_system
- solve_nonlinear_system
- substitute_expression
Related Tools
- @sdiehl/sympy-mcp
- @sdiehl/sympy-mcp
- @sdiehl/sympy-mcp
- @dbt-labs/dbt-mcp
- @611711Dark/mcp_calculate_server
- @sdiehl/sympy-mcp