TimeSeriesMCPServer

Train, compare, and forecast time series with deep learning models.

Source

third_party_registry

Updated

2026-08-24

// securityCaution

Runs locally
Open source

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

No copy-paste install info for "TimeSeriesMCPServer" yet — see the docs or source repo.

// examples

Sales Trend Forecasting

Prompt

Use TimeSeriesMCPServer to train RNN, LSTM, and GRU models on monthly sales data from the past 24 months, compare validation performance, and forecast the next 6 months. Return the best model and a summary of results.

Expected

A summary including model comparison, best-model rationale, and the 6-month sales forecast.

Server Load Forecasting

Prompt

Using the last 30 days of hourly CPU usage data, use TimeSeriesMCPServer to train RNN, LSTM, and GRU models, compare error metrics, and forecast load changes for the next 48 hours.

Expected

Returns the load forecast, error-metric comparison across models, and the recommended forecasting model.

Experimental Sequence Model Comparison

Prompt

I have a sensor time series dataset. Use TimeSeriesMCPServer to train RNN, LSTM, and GRU models, evaluate their performance, and conclude which model is most suitable for this dataset.

Expected

Outputs training and evaluation results, performance comparison, and a best-model recommendation for the dataset.