ai.waterr/mcp (Model Context Protocol)
The ai.waterr/mcp MCP server provides access to WaterrAI-related capabilities, including listing WaterrAI scenarios, fetching AI-run meetings, and pulling rubric-scored analyses. It exposes the server’s functionality through the Model Context Protocol for use by compatible clients.
🛠️ Key Features
- List WaterrAI scenarios
- Fetch AI-run meetings
- Pull rubric-scored analyses
🚀 Use Cases
- Retrieve available WaterrAI scenarios
- Access meeting outputs generated by AI
- Obtain analyses that include rubric scoring
⚡ Developer Benefits
- Structured retrieval of scenarios, meetings, and rubric-scored analyses via MCP
- Programmatic access to these WaterrAI data types for downstream processing
⚠️ Limitations
- Only the described functions (scenarios, AI-run meetings, rubric-scored analyses) are supported based on the provided data