Can I see the latest notes added to a specific claim?

Yes! Use the `list_claim_notes` tool with the unique claim ID. The agent will return all internal notes associated with that claim, allowing you to catch up on recent updates.

How do I check the list of pending activities for the whole team?

Use the `list_claim_activities` tool. Your agent will fetch all current tasks and activities across all claims, giving you a high-level view of the team's workload.

Where do I find my ClaimCenter Cloud API credentials?

These credentials are provided by your Guidewire administrator. You will need a username and password with 'Cloud API' permissions, along with your organization's specific instance URL.

Guidewire ClaimCenter MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Name: Guidewire ClaimCenter
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Guidewire ClaimCenter as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Guidewire ClaimCenter. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Guidewire ClaimCenter?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Guidewire ClaimCenter MCP Server

Connect your Guidewire ClaimCenter account to any AI agent and take full control of your insurance claims management through natural conversation. Streamline how you monitor and update claims natively.

LlamaIndex agents combine Guidewire ClaimCenter tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Claim Oversight — List and retrieve details for all active and historical insurance claims natively
Exposure Intelligence — Access and monitor exposures associated with specific claims flawlessly
Activity Management — List and review current activities and tasks across all claims securely
Document & Note Auditing — List internal notes and uploaded documents for any claim flawlessly
User & Contact Logistics — Access internal user rosters and shared contacts, including claimants and vendors, securely
Workflow Visibility — Retrieve detailed claim metadata, policy numbers, and status updates directly within your workspace

The Guidewire ClaimCenter MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Guidewire ClaimCenter to LlamaIndex via MCP

Follow these steps to integrate the Guidewire ClaimCenter MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Guidewire ClaimCenter

Why Use LlamaIndex with the Guidewire ClaimCenter MCP Server

LlamaIndex provides unique advantages when paired with Guidewire ClaimCenter through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Guidewire ClaimCenter tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Guidewire ClaimCenter tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Guidewire ClaimCenter, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Guidewire ClaimCenter tools were called, what data was returned, and how it influenced the final answer

Guidewire ClaimCenter + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Guidewire ClaimCenter MCP Server delivers measurable value.

Hybrid search: combine Guidewire ClaimCenter real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Guidewire ClaimCenter to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Guidewire ClaimCenter for fresh data

Analytical workflows: chain Guidewire ClaimCenter queries with LlamaIndex's data connectors to build multi-source analytical reports

Guidewire ClaimCenter MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Guidewire ClaimCenter to LlamaIndex via MCP:

get_claim_details

Get detailed information for a specific claim

list_claim_activities

List current activities and tasks across all claims

list_claim_contacts

List shared contacts (claimants, vendors, providers)

list_claim_documents

List uploaded documents for a specific claim

list_claim_exposures

List exposures associated with a specific claim

list_claim_notes

List internal notes for a specific claim

list_claimcenter_claims

List insurance claims from Guidewire ClaimCenter

list_claimcenter_users

List internal users and claim adjusters

Example Prompts for Guidewire ClaimCenter in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Guidewire ClaimCenter immediately.

"List all claims with a status of 'Open' in ClaimCenter."

"Show me the exposures for claim '000-01-0001'."

"Who is the primary contact for claim '000-01-0002'?"

Troubleshooting Guidewire ClaimCenter MCP Server with LlamaIndex

Common issues when connecting Guidewire ClaimCenter to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Guidewire ClaimCenter + LlamaIndex FAQ

Common questions about integrating Guidewire ClaimCenter MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Guidewire ClaimCenter tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.