data-validation
NewQA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility.
Install & Usage
~/.claude.jsonAdd the configuration to "mcpServers": { "data-validation": { "command": "...", "args": [] } }
/mcpSecurity Audits
Frequently Asked Questions
What is data-validation?
QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility.
How to install data-validation?
To install data-validation: open your mcp config (~/.claude.json), then add the config to "mcpServers": { "data-validation": { "command": "...", "args": [] } }. Finally, /mcp in Claude Code.
What is data-validation best for?
data-validation is a mcp categorized under Data & Analytics. It is designed for: code-review, documentation, data-&-analytics. Created by anthropics.