How to Use the Viral Loops MCP in LlamaIndex

Q: What information can LlamaIndex retrieve about Viral Loops campaigns?

You can index everything: campaign IDs, reward rules from getrewards, and performance stats. This lets you search across multiple sources in one unified query.

Q: Can I ask LlamaIndex about milestone rules for Viral Loops?

Absolutely. By indexing the output of getmilestones, you can query, 'What happens when a user hits 5 referrals?' and get the specific reward defined in your system.

Q: If I update a participant record, does LlamaIndex capture that? (Viral Loops and LlamaIndex)

Yes. When you run updateparticipant, the new data is captured and added to your knowledge base, making it instantly queryable for future reports.

Index Viral Loops campaign results into vector stores using LlamaIndex.

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Connect Viral Loops MCP to LlamaIndex

Create your Vinkius account to connect Viral Loops 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 Viral Loops with LlamaIndex

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Querying Campaign Data with MCP Server

You can build a searchable knowledge base from your campaigns. Call `get_campaign` and index the resulting structured data, like specific rules or goal metrics. Later, you can query this index—'What are our 10-referral rewards?'—and get an answer grounded in actual API data.

Tracking Participants for LlamaIndex

When a participant signs up, use `create_participant` and immediately save the result to your vector store. If you update their status later with `update_participant`, that new state is indexed too. This means your RAG application can answer questions about historical user behavior.

MCP Server: Analyzing Growth Metrics

The server lets you gather performance numbers using `get_campaign_stats`. By indexing these stats, you create a searchable log of growth. You won't just get the number; you'll get context—the 'why' behind the dip or spike in referrals.

Setup guide

Set up Viral Loops 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 Viral Loops 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 Viral Loops tools.",
)
response = await agent.run("List recent Viral Loops data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Viral Loops. 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 Viral Loops MCP in LlamaIndex

You can index everything: campaign IDs, reward rules from `get_rewards`, and performance stats. This lets you search across multiple sources in one unified query.

It treats participant records like any other document. You can index the results from `get_participant` and then retrieve specific details, such as their unique referral URL (`get_referral_url`), days later.

Absolutely. By indexing the output of `get_milestones`, you can query, 'What happens when a user hits 5 referrals?' and get the specific reward defined in your system.

Yes. When you run `update_participant`, the new data is captured and added to your knowledge base, making it instantly queryable for future reports.

The server touches participant details, including their email address, campaign IDs, and the status of their referral links. These are all indexed as structured knowledge.

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