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Detect causal dependencies in time series for analysis and research.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.nexus-mcp-infra/transfer-entropy-api-sdk" MCP server from askskill: Run: claude mcp add --transport http 'io-github-nexus-mcp-infra-transfer-entropy-api-sdk' 'https://test.railway.app'
Use this tool to detect whether there is a causal dependency between website traffic and conversion rate time series, then summarize the main findings.
A causal dependency detection result with a brief conclusion about the possible influence between the two metrics.
Detect causal dependencies among temperature, humidity, and pressure time series, and identify which variables may influence each other.
An analysis of causal dependencies across the time series to support further investigation of system behavior.
I have experimental observation time series. Use this tool to detect causal dependencies among variables and prepare a summary suitable for a research report.
Causal dependency detection results plus a concise summary suitable for a research presentation.
A data analyst can use it to identify potential causal dependencies among time series such as traffic, retention, and conversion, helping assess how metrics may influence each other.
Researchers can use it to detect causal dependencies among time series variables in experimental or observational data as a reference for further analysis.
Developers or data teams can use it on multiple monitoring series to check for dependencies between signals and help identify abnormal relationships.
It is used to detect causal dependencies in time series. Based on its name, it appears to be an MCP tool in the form of a Transfer Entropy API SDK.
From the description, it is intended for time series data. For specific data formats and input requirements, see the source repository.
No documentation excerpt is provided, so the installation steps, dependencies, and authentication method cannot be confirmed here. See the source repository for integration details.
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