Synthetic time-series test data with trend, seasonality, noise, and anomalies, for any MCP client.
Timeweaver MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Synthetic time-series test data with trend, seasonality, noise, and anomalies, for any MCP client.
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.
You will need one environment variable: TIMEWEAVER_LICENSE. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
timeweaver-mcp on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by FixtureForge; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
To unlock Pro, add your license key:
```json
{
"mcpServers": {
"timeweaver": {
"command": "npx",
"args": ["-y", "timeweaver-mcp"],
"env": { "TIMEWEAVER_LICENSE": "YOUR-KEY-HERE" }
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| TIMEWEAVER_LICENSE | Configuration value read at startup. | Optional |
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Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
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