Browse research instruments and expert assignments, then calculate Content Validity Index scores.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "content-validity-index-mcp" yet — see the docs or source repo.
Please browse all items and dimensions in this research instrument, summarize each expert's rating assignments, and calculate the I-CVI for each item and the overall S-CVI. Present the results in a table.
Returns item-level and scale-level CVI results with a clear summary table.
List all experts, their assigned dimensions, and reviewed items in the current project, and help me identify any unassigned experts or unreviewed items.
Outputs an expert assignment list and flags missing assignments or review gaps.
Summarize content validity index results by dimension, identify dimensions with low CVI, and suggest which items should be revised first.
Provides CVI summaries by dimension, highlights weak dimensions, and suggests revision priorities.
Use natural language to screen stocks, analyze companies, and run point-in-time research.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Search vetted MCP servers by task and review advisory guidance.
Manage recruiting workflows in natural language, from screening to scored interview reports.
Audit websites and measure AI visibility to improve agent traffic performance.
Search clinical evidence, regulatory data, and literature with grounded context.