Classify and route incoming claims using LLM-based triage workflows.
$ npx @aaif/mcp-claims-triage@experimentalTry in Claude Desktop
{
"mcpServers": {
"ai-claims-triage": {
"command": "npx",
"args": [
"@aaif/mcp-claims-triage@experimental"
],
"env": {}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json and restart Claude Desktop.| Tool | Description |
|---|---|
triage_claim | Classify and route a new claim |
get_triage_categories | List available triage categories and routing rules |
explain_triage_decision | Return reasoning for a triage decision |
The AI Claims Triage MCP server enables AI agents to classify, prioritise and route incoming insurance claims using configurable LLM-based triage logic. Reduces manual triage effort and accelerates claims handling SLAs.
Incoming claim data (FNOL details, loss description, coverage type) is passed to the MCP tool. The server applies a configurable classification pipeline — combining rule-based filters with LLM reasoning — and returns a triage decision with confidence score and recommended routing.
TRIAGE_LLM_MODEL=claude-sonnet-4-6 # or gpt-5-mini
TRIAGE_RULES_PATH=./rules.yaml
| Tool | Description |
triage_claim | Classify and route a new claim |
get_triage_categories | List available triage categories and routing rules |
explain_triage_decision | Return reasoning for a triage decision |