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io.github.FixtureForge/timeweaver-mcp

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Synthetic time-series test data with trend, seasonality, noise, and anomalies, for any MCP client.

Source code Documentation

What can you do with io.github.FixtureForge/timeweaver-mcp?

  • 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.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package timeweaver-mcp
Claude Code 
claude mcp add timeweaver-mcp -- npx -y timeweaver-mcp@0.1.1
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "timeweaver-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "timeweaver-mcp@0.1.1"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. TimeWeaver MCP
  2. Why
  3. Install
  4. Tools
  5. Examples
  6. Free vs Pro
  7. License

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

FreePro
Points per series200up to 100,000
Series1up to many, correlated
Trendnone / linear+ exponential, logistic
Seasonality1 cyclemultiple cycles
Noisegaussian+ AR(1) autocorrelated
Anomalies–spikes, level shifts, trend changes, dropouts
OutputJSON+ 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.

Frequently asked questions

What is io.github.FixtureForge/timeweaver-mcp?

Synthetic time-series test data with trend, seasonality, noise, and anomalies, for any MCP client.

How do I install io.github.FixtureForge/timeweaver-mcp?

It runs on your machine. In Claude Code: claude mcp add timeweaver-mcp -- npx -y timeweaver-mcp@0.1.1. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.FixtureForge/timeweaver-mcp need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.FixtureForge/timeweaver-mcp open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.FixtureForge/timeweaver-mcp?

It is published by FixtureForge. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.