Timeweaver Mcp
Generate realistic synthetic time-series datasets with trends, seasonality, noise, and anomalies so agents can test charts, alerts, and ML pipelines without production data.
Overview
Timeweaver MCP is a MCP server for the Ship phase that generates synthetic time-series test data with trend, seasonality, noise, and anomalies for any MCP client.
What is this MCP server?
- Produces synthetic time-series with configurable trend, seasonality, noise, and injected anomalies
- Stdio MCP transport via npm package timeweaver-mcp (v0.1.1)
- Works with any MCP-capable client—no live database or vendor API required
- Ideal for reproducing rare spikes and seasonal patterns in unit and integration tests
- GitHub source at FixtureForge/timeweaver-mcp under MCP server schema 2025-07-09
- Server version 0.1.1
- Single npm package with stdio transport
- MCP server schema dated 2025-07-09
What problem does it solve?
You need believable metric histories and anomaly spikes to test code, but production time-series are off-limits or too sparse in local environments.
Who is it for?
Indie devs building dashboards, alerting, or ML on metrics who want agent-driven fixture generation during the testing subphase.
Skip if: Teams that only need static CSV imports once, or builders who require authoritative production Flight/recording data rather than fabricated series.
What do I get? / Deliverables
Your agent can mint parameterized synthetic series on demand so tests and demos cover seasonal drift and edge cases without real telemetry.
- Parameterized synthetic time-series datasets for tests
- Scenarios with trend, seasonality, noise, and injected anomalies
- Agent-callable fixtures without production data access
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Journey fit
Synthetic fixtures belong in Ship because they support test design, edge-case coverage, and validation before you rely on live metrics. Testing is the natural home for controllable fake telemetry that exercises dashboards, anomaly detectors, and forecasting code.
How it compares
MCP test-data generator, not a live monitoring or ETL pipeline skill.
Common Questions / FAQ
Who is timeweaver-mcp for?
Solo and indie builders using MCP agents to create repeatable time-series fixtures for tests and prototypes without touching production metrics.
When should I use timeweaver-mcp?
During Ship testing when you need seasonal, noisy, or anomalous series to validate charts, detectors, or forecasting logic before launch.
How do I add timeweaver-mcp to my agent?
Install the npm package timeweaver-mcp, register it as a stdio MCP server in Claude Code, Cursor, or another MCP client, then invoke its tools from the agent session.