MCP SERVERGenerate synthetic time-series with real trend, seasonality, noise and injected anomalies — as JSON, CSV or SQL — instead of asking a model to hand-write coherent numbers.
LABSCO SUMMARY
Ask a model for two hundred daily values with a weekly pattern and a slow upward trend and you get numbers that look right in a list and fall apart in a chart — the seasonality drifts, the trend is not monotonic, the noise is suspiciously uniform. Generating from an actual model of trend, seasonality and noise fixes the thing that was broken. The deliberate anomaly injection is what makes it useful for testing alerting and detection, where you need to know the ground truth. Presets are the practical touch: most people want realistic, not configurable, and having both means the quick path exists.
A synthetic time-series generator with configurable structure: trend, seasonality, noise, anomalies and multiple correlated streams, output in a form you can load.
Nothing to supply.
One command — npx -y timeweaver-mcp
USE CASES
Generate from a preset so the series has coherent trend and seasonality rather than numbers that only look plausible in a list.
Inject anomalies deliberately, so what the detector should find is something you decided rather than something you hope is in there.
Take the output as SQL rather than JSON, so loading it is one step.
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
generate_timeseriesGenerate realistic synthetic time-series data with configurable trend, seasonality, noise, anomalies, and multiple correlated series. Ideal for testing dashboards, charts, monitoring/alerting, forecasting and anomaly-detection. Output as JSON, CSV, or SQL INSERTs. Use a preset for quick sensible defaults, or specify components explicitly.
list_presetsList the built-in time-series presets (realistic ready-made configurations like e-commerce sales, server CPU, IoT temperature, website traffic, stock price, API latency). Use a preset name with generate_timeseries to get sensible defaults you can still override.
BEFORE YOU INSTALL
2 tools when we connected. Both tools work without a license, but free generate_timeseries is capped at 200 points and one series; anomalies, CSV/SQL output, correlated series and seeds are Pro only.
npx on PATH
The documented client runs the server on your machine.
CONTEXT COST
Rated by the size of the 2 tool definitions that ride along on every turn, not by how many there are
INSTALLATION
npx -y timeweaver-mcp{
"mcpServers": {
"timeweaver": {
"command": "npx",
"args": [
"-y",
"timeweaver-mcp"
]
}
}
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