Can the AI automatically notify me about points that are expiring soon?

Yes! You can ask the agent to check for upcoming point expirations across all connected users. It will use the `get_connected_user_accounts` tool to identify balances at risk and report them to you in seconds.

How do users authorize my business account to see their travel data?

Simply ask the agent to run the `create_auth_url` tool. It will generate a unique authorization link that you can share with your users. Once they click and approve, their data becomes visible to your agent.

Is it possible to retrieve full flight confirmation details through the AI?

Yes. The `get_itinerary` tool allows the agent to fetch complete trip details, including confirmation numbers, flight times, and hotel addresses for any shared trip.

AwardWallet MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: AwardWallet
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AwardWallet 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 AwardWallet. "
            "You have 9 tools available."
        ),
    )

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

asyncio.run(main())

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About AwardWallet MCP Server

Connect your AwardWallet business account to any AI agent and track your loyalty points, frequent flyer miles, and travel itineraries through natural conversation.

LlamaIndex agents combine AwardWallet tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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

Loyalty Tracking — Monitor balances, expiration dates, and elite status across hundreds of frequent flyer and reward programs
Travel Timelines — Access a unified view of past and upcoming trips, including flights, hotels, and car rentals
Itinerary Auditing — Retrieve detailed metadata and confirmation details for trips shared by your connected users
User Access Control — List and manage users who have authorized your business to access their travel and loyalty data

The AwardWallet MCP Server exposes 9 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 AwardWallet to LlamaIndex via MCP

Follow these steps to integrate the AwardWallet 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 9 tools from AwardWallet

Why Use LlamaIndex with the AwardWallet MCP Server

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

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

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

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

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

AwardWallet + LlamaIndex Use Cases

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

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

Data enrichment: query AwardWallet 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 AwardWallet for fresh data

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

AwardWallet MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect AwardWallet to LlamaIndex via MCP:

create_auth_url

Generate an authorization URL for a user to link their AwardWallet account

get_account_check

Verify AwardWallet Business API connection

get_account_details

Get specific details for a loyalty account

get_account_history

Retrieve historical activity for a specific loyalty account

get_user_accounts

Retrieve loyalty account list for a specific user

get_user_itineraries

Retrieve detailed itineraries for a specific user

get_user_timeline

Retrieve the travel timeline for a specific user

list_connected_users

List all AwardWallet users who have authorized your business account

list_loyalty_providers

List all supported loyalty providers

Example Prompts for AwardWallet in LlamaIndex

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

"List all connected users in my AwardWallet account."

"Show me the loyalty accounts for user ID '12345'."

"Get the travel timeline for user '998877'."

Troubleshooting AwardWallet MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

AwardWallet + LlamaIndex FAQ

Common questions about integrating AwardWallet 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 AwardWallet tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.