Schema | Differentiation MCP Server

Differentiation MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Functions exposed to the LLM to take actions

Name	Description
differentiate_symbolicA	Compute symbolic derivatives of mathematical expressions using SymPy
differentiate_numericalC	Compute numerical derivatives using autograd for specific function values
partial_derivativesC	Compute partial derivatives for multivariable functions
gradient_vectorB	Compute the gradient vector of a multivariable function
chain_ruleB	Apply the chain rule for composite functions
implicit_differentiationB	Perform implicit differentiation for equations of the form F(x,y) = 0

Interactive templates invoked by user choice

Name	Description
`differentiation-help`	Get help with differentiation concepts and choose the right tool
`calculus-problem-solver`	Structured approach to solving calculus problems involving differentiation

Contextual data attached and managed by the client

Name	Description
No resources

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