Gmail Followup Risk
Analyzes Gmail email threads to compute followup risk scores based on content, sender history, recency, and context cues. Returns numerical risk levels and rationale for prioritization. Developers integrate it into AI agents for automated email triage; sales reps and executives use it to focus on high-risk conversations requiring action.
Overview
Gmail Followup Risk MCP server allows AI models to assess the probability that a Gmail email thread needs a followup. It processes thread content, metadata like sender reputation and timestamps, and interaction history to output risk scores from 0-100, where higher scores indicate urgent action required.
Key Capabilities
- get_followup_risk: Takes Gmail thread ID or content snapshot; returns risk score, confidence level, and factors contributing to the score (e.g., open questions, deadlines mentioned).
- batch_risk_analysis: Evaluates multiple threads in bulk, sorting by descending risk for inbox prioritization.
- Risk factors include linguistic analysis for commitments, urgency keywords, and reply chain length.
Use Cases
- Sales lead prioritization: Query get_followup_risk on prospect threads to score leads by deal-closing urgency, focusing replies on 80+ risk items.
- Executive triage: Run batch_risk_analysis daily on inbox to generate a sorted list, ignoring low-risk (under 30) automated notifications.
- Customer support escalation: Integrate into ticketing bots; flag threads over 70 risk for immediate human review.
- Developer automation: Embed in custom Gmail scripts or AI assistants to auto-draft responses for medium-risk threads.
Who This Is For
Developers building email automation tools or AI agents; sales and support teams handling high-volume Gmails; executives seeking inbox control without manual sorting.