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Discover, understand, and generate Teal R Shiny apps for clinical trial analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TealFlowMCP" yet — see the docs or source repo.
Generate a Teal R Shiny app prototype for clinical trial AE and laboratory data analysis, including data loading, subject filtering, an AE summary table, and lab trend plots.
A starter Teal app code structure with the main modules explained.
Analyze this Teal R Shiny app code, explain each module’s purpose and input-output flow, and show how to extend it with a new efficacy analysis page.
A developer-friendly code walkthrough and implementation guidance for a new analysis page.
Create a Teal module for these requirements: filter by treatment arm and visit, display adverse event incidence, and export result tables; include code and dependency notes.
Module code matching the requirements, required dependencies, and integration steps for the main app.
Use AI to inspect and understand FlutterFlow projects faster.
Run a safe local development loop with patching, testing, and fixes.
Create, edit, and export flowcharts with visual syncing and full node control.
Securely let AI read and edit scoped AppFlowy workspace content.
Manage RAGFlow datasets and create retrieval-augmented chat assistants via API.
Access planner flows, tasks, and squads through a streamable HTTP MCP server.