Synthetic time-series test data with trend, seasonality, noise, and anomalies, for any MCP client.
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.
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{
"mcpServers": {
"timeweaver": {
"command": "npx",
"args": [
"-y",
"timeweaver-mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
使用 Apifox MCP Server,可以将 Apifox 项目内的接口文档作为数据源提供给 Cursor 等支持 AI 编程的 IDE 工具以便让 AI 能够直接访问项目对应的接口文档数据。
Webhook Ai tools for AI agents. Capabilities: validate webhook signature, log webhook event, replay
Persistent memory for AI coding agents: one Rust binary, one local SQLite database.
You can deploy it to your own Cloudflare account, and after you create your own GitHub OAuth client app, you'll have a fully functional remote MCP