// SCAN REPORT

JeffersonStats

35 tools. 1 can modify or destroy data without limits.

1 write tool that can modify data. Rate limits recommended.

Last updated:

1 can modify or destroy data
34 read-only
35 tools total

Community server · catalogue entry verified 29/06/2026

How to control JeffersonStats ↓

TOOL MAP

What JeffersonStats exposes to your agents

Read (34) Write / Execute (1) Destructive / Financial (0)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS
High Risk

The most dangerous JeffersonStats tools

Execute · Low linear_regression_calculator The tool runs a statistical algorithm (linear regression) on input data and returns results.

1 of JeffersonStats's 35 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control JeffersonStats

PolicyLayer is an MCP gateway — it sits between your AI agents and JeffersonStats, and nothing reaches the server without passing your rules. These are the rules we recommend:

Cap read operations
{
  "anova_calculator": {
    "limits": [
      {
        "counter": "anova_calculator_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

  1. Create a free account and register JeffersonStats — nothing to install.
  2. Add these rules — paste them, or build them visually. Tune the limits to your setup.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
ENFORCE POLICY ON JEFFERSONSTATS →

Instant setup, no code required.

FULL CATALOGUE

All 35 JeffersonStats tools

EXECUTE 1 tools
Execute linear_regression_calculator A tool to perform simple linear regression between two variables
READ 34 tools
Read anova_calculator A tool to perform one-way ANOVA (Analysis of Variance) on multiple collections Read binomial_test A tool to perform a binomial test to test the null hypothesis that the probability of success is p Read bootstrap_confidence_interval A tool to calculate bootstrap confidence interval for the mean of a collection Read chi_square_test A tool to perform chi-square test of independence between two categorical variables Read coefficient_of_variation_calculator A tool to calculate the coefficient of variation (relative standard deviation) of a collection Read confidence_interval_calculator A tool to calculate the confidence interval for the mean of a collection Read correlation_calculator A tool to calculate the Pearson correlation coefficient between two collections Read covariance_calculator A tool to calculate the covariance between two collections Read descriptive_statistics_summary A tool to generate a comprehensive summary of descriptive statistics for a collection Read frequency_table_creator A tool to create a frequency table from a collection Read geometric_mean_calculator A tool to calculate the geometric mean of a collection of positive numbers Read harmonic_mean_calculator A tool to calculate the harmonic mean of a collection of positive numbers Read iqr_calculator A tool to calculate the interquartile range (IQR) of a collection Read kendall_tau_calculator A tool to calculate Kendall Read kurtosis_calculator A tool to calculate the kurtosis (measure of Read mann_whitney_u_test A tool to perform the Mann-Whitney U test for two independent samples Read mean_or_average_calculator A tool to calculate mean or average value of a collection of numbers Read median_calculator A tool to calculate median of a collection Read mode_calculator A tool to calculate the mode (most frequent value) of a collection Read moving_average_calculator A tool to calculate the moving average of a time series Read normality_test A tool to test if a collection comes from a normal distribution Read outlier_detector A tool to detect outliers in a collection using the IQR method Read percentile_calculator A tool to calculate a specific percentile of a collection Read quantile_calculator A tool to calculate quantiles of a collection Read quartiles_calculator A tool to calculate the quartiles (Q1, Q2, Q3) of a collection Read range_calculator A tool to calculate the range (difference between max and min) of a collection Read skewness_calculator A tool to calculate the skewness (measure of asymmetry) of a collection Read spearman_correlation_calculator A tool to calculate the Spearman rank correlation coefficient between two collections Read standard_deviation_calculator A tool to calculate standard deviation of a collection Read t_test_calculator A tool to perform a one-sample t-test comparing a collection to a population mean Read trimmed_mean_calculator A tool to calculate the trimmed mean of a collection Read variance_calculator A tool to calculate the variance of a collection Read wilcoxon_test A tool to perform the Wilcoxon signed-rank test for two related samples Read z_score_calculator A tool to calculate z-scores (standard scores) for a collection
FAQ

Questions about JeffersonStats

Is the JeffersonStats MCP server safe to use without restrictions? +

The JeffersonStats server is primarily read-only with 34 read tools. While it cannot modify data, an agent in a retry loop can make thousands of API calls per minute, exhausting rate limits and running up costs. Rate limiting is still recommended.

How many tools does the JeffersonStats MCP server expose? +

35 tools across 2 categories: Read, Write. 34 are read-only. 1 can modify, create, or delete data.

How do I enforce a policy on JeffersonStats? +

Register the JeffersonStats MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every JeffersonStats tool call.

Deterministic rules across all 35 JeffersonStats tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON JEFFERSONSTATS →

Instant setup, no code required.

35 JeffersonStats tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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