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MCP server · Documentation

InContextML

by · github.com/sureshkvn/inContextML

MCP Server for In Context Learning Models for Forecasting Timeseries, Prediction Using Regression, and a Mock Classifier (for now)

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Scored a month ago · breakdown

About InContextML

InContextML is an MCP server published by sureshkvn in the Documentation category: mCP Server for In Context Learning Models for Forecasting Timeseries, Prediction Using Regression, and a Mock Classifier (for now).

The repository has 1 stars and 0 forks, with the last commit 2 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/sureshkvn/inContextML

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (3)

classify_tabularTabular classification

Parameters not published.

forecast_timeseriesTime-series forecasting

Parameters not published.

regress_tabularTabular regression

Parameters not published.

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Questions

About InContextML

How do I install InContextML?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is InContextML safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is InContextML still maintained?

Yes — the last commit was 2 months ago. The repository has 1 stars and 0 forks.