Expose AI Confidence Score in Staircase MCP Expansion Analyst Response

Current Behavior

• When querying expansion opportunities via the Staircase MCP, the expansion analyst returns a flat list of opportunity name strings with no nested structure. There is no additional metadata — such as AI confidence score, opportunity type, account context, or signal source — attached to each opportunity in the response payload.

Expected Behavior

• The MCP response for expansion opportunities should return a structured object per opportunity that includes, at minimum, the AI confidence score that is already visible in the Expansion Analyst UI. Ideally, each opportunity would be returned as a nested object with fields such as:

{
  "opportunity_name": "string",
  "ai_confidence": "High / Medium / Low",
  "account_name": "string",
  "signal_source": "string",     // e.g. call transcript, email, sentiment
  "identified_date": "date"
}

Business Impact

• My customer is actively using Claude + Staircase MCP for AI-powered CS workflows, including executive presentations and account prioritization. Without the AI confidence score exposed via MCP, users cannot programmatically filter or prioritize expansion opportunities by quality — limiting the actionability of the data returned and requiring manual cross-referencing with the Staircase UI. This gap is particularly impactful for scaled/SMB motions where automation is key.