How to Use the All Digital Rewards MCP in LlamaIndex

Q: What's the process for connecting All Digital Rewards to a LlamaIndex RAG app?

It's straightforward. You instantiate the McpToolSpec with your Vinkius server URL. This exposes all the All Digital Rewards tools to LlamaIndex. From there, you can pass them to an agent or use them in a data ingestion pipeline to build your knowledge base.

Turn your All Digital Rewards data into a searchable knowledge base with LlamaIndex.

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Connect All Digital Rewards MCP to LlamaIndex

Create your Vinkius account to connect All Digital Rewards to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup All Digital Rewards with LlamaIndex

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Index Your Rewards Catalog

Use a LlamaIndex agent to automatically build a queryable index of your entire rewards catalog. The agent calls `list_reward_products` and then iterates through the list, calling `get_product_details` for each item. All that metadata gets indexed into a vector store. Now you can ask plain-English questions like, 'show me available gift cards under $50' or 'what electronics can I get for 10,000 points?'. LlamaIndex performs a semantic search over the data you indexed, giving you answers grounded in your actual, up-to-the-minute catalog.

Query Program History with this MCP Server

Your All Digital Rewards data isn't just for transactions; it's a historical record. Set up a LlamaIndex pipeline to periodically run tools like `list_programs`, `list_participants`, and `list_orders`, and index the output. This creates a snapshot of your program's state over time. With this indexed data, you can build a RAG application that answers questions about past activity without hitting the live API every time. Ask 'how many participants were in the Q4 loyalty program?' and get an immediate, accurate answer from the knowledge base your agent built.

Build Grounded Support Agents

You can build a support agent that gives answers based on real data, not guesswork. When a user asks a question, the agent can use `get_participant_details` and `list_orders` to fetch that specific user's history from the All Digital Rewards system. LlamaIndex then adds this information to its context for the current query. So when the user asks, 'where is my last reward?', the agent's answer is based directly on the fulfillment status and tracking info it just pulled. It's a practical way to reduce support tickets.

Setup guide

Set up All Digital Rewards MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all All Digital Rewards MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to All Digital Rewards tools.",
)
response = await agent.run("List recent All Digital Rewards data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by All Digital Rewards. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about All Digital Rewards MCP in LlamaIndex

Yes, that's what it's built for. You configure an agent to run the `list_reward_products` and `get_product_details` tools and index the results into a vector store. You can then query that index with questions like 'what rewards are digital-only?'.

You control the refresh rate. You can set up a recurring job that tells your LlamaIndex application to re-run the MCP tools—like `list_programs` or `list_orders`—and update its knowledge base. This ensures your answers are always based on recent data.

It's straightforward. You instantiate the `McpToolSpec` with your Vinkius server URL. This exposes all the All Digital Rewards tools to LlamaIndex. From there, you can pass them to an agent or use them in a data ingestion pipeline to build your knowledge base.

Yes. You can have LlamaIndex ingest your internal PDFs and docs about a rewards program right alongside the live program data pulled with the `get_program_details` tool. This creates a unified index for answering questions with both static and dynamic context.

Your LlamaIndex agent calls the MCP Server via a secure, token-based endpoint. Vinkius processes the request for participant order data in a sandboxed environment that's torn down after the call. You are in full control of where the indexed data is stored.

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