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Run transparent statistical analysis with cited findings and no invented numbers.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.FantasyLab-ai/aurora" MCP server from askskill: Run: claude mcp add 'io-github-fantasylab-ai-aurora' -- uvx aurora-mcp
Researchers can use it to produce conclusions backed by statistical evidence when reviewing experiment or survey data. It fits research settings that require transparent analysis.
Data analysts can use it to generate traceable findings summaries when explaining results. It helps teams discuss conclusions based on explicit evidence and emphasizes no invented numbers.
Developers can use it to add more transparent statistical analysis to AI agents. It is suitable for agent workflows that need clear methods and verifiable conclusions.
It is an MCP tool for statistical analysis aimed at agents, emphasizing glass-box analysis, cited findings, and no invented numbers. The description says it supports 19 methods.
It focuses on traceable analysis steps and evidence-backed conclusions rather than black-box outputs. According to the description, its core value is cited findings and avoiding fabricated numbers.
The provided material does not include installation steps, runtime requirements, or key information. For prerequisites, see the source repository.
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