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Let AI call R and Python statistical functions without writing code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "StatTools" yet — see the docs or source repo.
Please run descriptive statistics on this dataset using appropriate statistical functions, and report the mean, median, standard deviation, and quantiles with a brief interpretation.
Returns key descriptive statistics and a brief interpretation without manually writing R or Python code.
Please perform a regression analysis on the data, automatically using available statistical functions, and provide the model results, key coefficients, and significance notes.
Provides a regression summary including key coefficients and notes on statistical significance.
Please compare these two sample groups for significant differences, using an appropriate statistical test function, and explain the conclusion.
Returns the relevant statistical test result and a conclusion on whether a significant difference exists.
Data analysts or researchers can let an AI agent discover and call statistical functions directly for common analysis tasks. This reduces the need to manually write R or Python code.
Developers can connect this MCP tool to MCP-compatible AI systems so models can use R and Python statistical functions inside conversational workflows. It is useful for embedding statistical computation into intelligent workflows.
It is an MCP server that lets AI agents discover and call R and Python statistical functions. Its main purpose is to enable statistical computation without manually writing code.
Based on the description, you do not need to manually write code for the AI agent to call statistical functions. For exact supported functions and invocation details, see the source repository.
The provided material does not specify installation steps, runtime requirements, or dependencies. Please see the source repository for prerequisites.
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