Optum Claims & Billing MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Optum Claims & Billing as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Optum Claims & Billing. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in Optum Claims & Billing?"
)
print(response)
asyncio.run(main())
* 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 Optum Claims & Billing MCP Server
What you can do
Take complete proxy control over your hospital Back-Office, accelerating financial throughput securely with Optum Healthcare APIs:
LlamaIndex agents combine Optum Claims & Billing tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
- Submit Medical Claims: Safely construct X12 837P (Professional) or 837I (Institutional) payloads dispatching bills directly to UnitedHealthcare for payment.
- Check Claim Sent Status: Automatically intercept Pended, Denied, or Approved medical bills utilizing the EDI 276/277 framework natively.
- Extract ERA Remittances: Reconcile your banking accounts effortlessly by downloading Electronic Remittance Advices (ERA 835) securely.
The Optum Claims & Billing MCP Server exposes 5 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 Optum Claims & Billing to LlamaIndex via MCP
Follow these steps to integrate the Optum Claims & Billing 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 5 tools from Optum Claims & Billing
Why Use LlamaIndex with the Optum Claims & Billing MCP Server
LlamaIndex provides unique advantages when paired with Optum Claims & Billing through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Optum Claims & Billing tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Optum Claims & Billing tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Optum Claims & Billing, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Optum Claims & Billing tools were called, what data was returned, and how it influenced the final answer
Optum Claims & Billing + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Optum Claims & Billing MCP Server delivers measurable value.
Hybrid search: combine Optum Claims & Billing real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Optum Claims & Billing 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 Optum Claims & Billing for fresh data
Analytical workflows: chain Optum Claims & Billing queries with LlamaIndex's data connectors to build multi-source analytical reports
Optum Claims & Billing MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect Optum Claims & Billing to LlamaIndex via MCP:
opt_check_claim_status
Check if a submitted bill has been paid, denied, or is pending medical review
opt_get_remittance_advice
Downloads the Electronic Remittance Advice (835 ERA) detailing payment breakouts
opt_handle_denial_revision
Resubmits a corrected claim fixing coding errors to overturn a payer denial
opt_submit_institutional_claim
Submits an institutional medical bill (837I) for hospital stays and major facilities
opt_submit_professional_claim
Submits a professional medical bill (837P) for doctors and outpatient clinics
Example Prompts for Optum Claims & Billing in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Optum Claims & Billing immediately.
"Check the status of the institutional claim ID 88829281X."
"List the latest ERA remittances available for clearing."
"Draft an 837 payload for an office visit code 99213."
Troubleshooting Optum Claims & Billing MCP Server with LlamaIndex
Common issues when connecting Optum Claims & Billing to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOptum Claims & Billing + LlamaIndex FAQ
Common questions about integrating Optum Claims & Billing MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Optum Claims & Billing with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Optum Claims & Billing to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.