# Claim Follow-up Scheduler AI Agent Connect > Claim Follow-up Scheduler MCP builds intelligent communication schedules for insurance adjusters and claims teams. It analyzes claim status and contact history to predict upcoming deadlines and identify the most urgent tasks. You can use it within your AI client to ensure you meet SLAs and respect claimant communication preferences without manual tracking. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_Szo4AsJC2B7ob6pIUOMPIR4CeSkerrj240ESGmKp/ai-agent-connect - **Tags:** claims, sla, automation, insurance-tech, scheduling-engine ## Description Managing insurance claims means juggling constant updates, strict deadlines, and specific claimant preferences. This MCP acts as a specialized scheduling engine that sits inside your AI client. Instead of you manually checking status logs to see who needs a call, your agent uses this MCP to build proactive timelines based on real claim data. It looks at current momentum and historical contact patterns to tell you exactly when to reach out and what your goal should be for each interaction. You can use it to spot risks before they become SLA violations or to verify that a proposed contact plan doesn't accidentally violate a claimant's request for email-only communication. It turns your AI agent into a proactive claims coordinator that knows what to do next. ## Tools ### calculate_sla_compliance_risk This tool evaluates how likely you are to miss a critical deadline by analyzing current claim momentum and history. ### generate_followup_schedule This tool creates a complete timeline of future contact points and specific goals for each one. ### get_next_immediate_action This tool identifies the single most urgent follow-up task you need to handle right now. ### validate_communication_plan This tool checks if your proposed contact sequence breaks any business rules or specific claimant preferences. ## Prompt Examples **Prompt:** ``` Generate a follow-up schedule for a claim in 'Active Investigation' status with a promised date of 2024-11-01 and a deadline of 2024-12-15. ``` **Response:** ``` The schedule includes contact points on 2024-10-28 via Email for information gathering, 2024-11-01 via Phone for a status update, and 2024-11-15 via Email for further information gathering. ``` **Prompt:** ``` What is the most urgent action for a claim that has a deadline of 2024-10-25 and is currently in 'Pending Documentation' status? ``` **Response:** ``` The most urgent action is to call the claimant on 2024-10-24 to request the missing documentation. ``` **Prompt:** ``` Check if this schedule is valid: contact on 2024-11-05 via SMS, where the claimant only allows Email. ``` **Response:** ``` The plan is invalid because the claimant has opted out of SMS communication. ``` ## Capabilities ### Timeline Generation Your agent builds full contact plans with specific objectives for every touchpoint. ### Urgency Identification The AI identifies the single most important task to prevent claim stagnation. ### SLA Risk Assessment The tool predicts the probability of missing deadlines based on claim progress. ### Compliance Checking Your agent verifies that contact methods align with claimant preferences and business rules. ## Use Cases ### Preventing SLA Breaches An adjuster uses the risk assessment tool to see which claims are falling behind schedule before a deadline is missed. ### Automated Contact Planning A team creates a month-long communication roadmap for a new investigation in seconds. ### Preference Enforcement The AI prevents an agent from sending an SMS to a claimant who has requested email-only contact. ### Daily Task Prioritization An agent starts their morning by asking the AI for the single most urgent task across their entire claim load. ## Benefits - Reduces missed deadlines by predicting SLA risks before they happen. - Prevents communication errors by validating contact methods against claimant preferences. - Eliminates manual schedule building by generating complete contact timelines automatically. - Focuses attention on high-priority tasks through immediate action identification. ## How It Works You connect the MCP to your preferred AI client and start managing claims through natural language. 1. Connect the MCP to Claude, Cursor, or Windsurf via Vinkius. 2. Provide your agent with claim details like status, deadlines, and contact history. 3. Ask your agent to generate schedules or check for urgent tasks. 4. The agent executes the specific tools to return actionable timelines or risk alerts. ## Frequently Asked Questions **How does this MCP help with insurance SLAs?** It uses the calculate_sla_compliance_risk tool to evaluate the likelihood of missing deadlines based on current claim momentum. **Can I use this with my existing AI tools?** Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf. **Does it handle claimant communication preferences?** Yes, the validate_communication_plan tool checks your proposed contact sequence against specific claimant preferences and business constraints. **How does it decide what to do next?** The get_next_immediate_action tool identifies the single most urgent follow-up task required for a specific claim. **Do I need to host this myself?** No, Vinkius hosts and manages the MCP, so it is ready to use immediately after you connect your client. **How does the scheduler determine contact frequency?** Frequency is determined by the claim status and the proximity to the deadline. For example, an Active Investigation requires more frequent contact than a Review/Approval stage. **Can I ensure the schedule respects claimant preferences?** Yes. You can use `validate_communication_plan` to check if a proposed sequence of contacts violates any specific channel or frequency preferences set by the claimant. **How is SLA risk calculated?** The `calculate_sla_compliance_risk` tool evaluates risk based on the current claim status, the approaching deadline, and the success rates found in the contact history.