TimeWeaver MCP

Synthetic time-series test data, on demand, inside your AI client. Generate realistic series with configurable trend, seasonality, noise, anomalies, and multiple correlated streams — perfect for testing dashboards, charts, monitoring/alerting, forecasting models, and anomaly detection. Output as JSON, CSV, or SQL.

Part of the fixturelab test-data tools. Its sibling SeedWeaver does relational/database test data.

Why

LLMs are unreliable at hand-generating coherent time-series — trends drift, "seasonality" doesn't actually repeat, and correlations between series are fake. TimeWeaver generates data with verifiable statistical properties: a linear trend really has the slope you asked for, a seasonal cycle really repeats at its period, two correlated series really hit the target correlation, and AR(1) noise really has the autocorrelation you set.

Install

npx -y timeweaver-mcp

Add to your MCP client config (e.g. Claude Desktop claude_desktop_config.json):

{
  "mcpServers": {
    "timeweaver": {
      "command": "npx",
      "args": ["-y", "timeweaver-mcp"]
    }
  }
}

To unlock Pro, add your license key:

{
  "mcpServers": {
    "timeweaver": {
      "command": "npx",
      "args": ["-y", "timeweaver-mcp"],
      "env": { "TIMEWEAVER_LICENSE": "YOUR-KEY-HERE" }
    }
  }
}

Tools

• generate_timeseries — generate data from a preset and/or explicit components (length, frequency, baseline, trend, seasonality, noise, anomalies, correlated series). Output JSON / CSV / SQL.
• list_presets — list built-in presets: ecommerce_sales, server_cpu, iot_temperature, website_traffic, stock_price, api_latency_ms.

Examples

"Generate 90 days of daily e-commerce sales using the ecommerce_sales preset."

"Generate 3 correlated server CPU series over 500 minutes with correlation 0.8, as CSV."

"Make an hourly temperature series with a daily cycle and a level shift on day 5, as SQL into a table called readings."

Free vs Pro

| | Free | Pro | |---|---|---| | Points per series | 200 | up to 100,000 | | Series | 1 | up to many, correlated | | Trend | none / linear | + exponential, logistic | | Seasonality | 1 cycle | multiple cycles | | Noise | gaussian | + AR(1) autocorrelated | | Anomalies | – | spikes, level shifts, trend changes, dropouts | | Output | JSON | + CSV, SQL | | Deterministic seed | – | ✓ |

Pro: $19/mo or $39 one-time → https://fixtureforge.gumroad.com/l/timeweaver

License

MIT (the server code). Pro features require a valid license key.