Viral Loops MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Viral Loops 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 Viral Loops. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Viral Loops?"
)
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 Viral Loops MCP Server
Connect Viral Loops to any AI agent and supercharge your referral marketing — manage campaigns, track participants, monitor milestones, and analyze referral performance through natural conversation.
LlamaIndex agents combine Viral Loops tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
What you can do
- Campaign Management — List and inspect all referral campaigns in your account
- Participant Tracking — View participants, their referral counts, and statuses
- Referral URLs — Generate and retrieve unique referral links for participants
- Milestone Monitoring — Check referral milestones and reward completion
- Campaign Statistics — Get performance metrics including total referrals and conversions
- Reward Management — View and manage reward configurations
The Viral Loops MCP Server exposes 10 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 Viral Loops to LlamaIndex via MCP
Follow these steps to integrate the Viral Loops 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 10 tools from Viral Loops
Why Use LlamaIndex with the Viral Loops MCP Server
LlamaIndex provides unique advantages when paired with Viral Loops through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Viral Loops tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Viral Loops tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Viral Loops, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Viral Loops tools were called, what data was returned, and how it influenced the final answer
Viral Loops + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Viral Loops MCP Server delivers measurable value.
Hybrid search: combine Viral Loops real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Viral Loops 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 Viral Loops for fresh data
Analytical workflows: chain Viral Loops queries with LlamaIndex's data connectors to build multi-source analytical reports
Viral Loops MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Viral Loops to LlamaIndex via MCP:
create_participant
Use this when users sign up through your referral form. Add a new participant to a referral campaign
get_campaign
Use the campaign ID from list_campaigns. Get detailed information about a specific campaign
get_campaign_stats
Get performance statistics for a campaign
get_milestones
g., 5 referrals = discount, 10 referrals = free product) and their current completion status. Get referral milestones and rewards for a campaign
get_participant
Get details of a specific participant by email
get_referral_url
Get the unique referral URL for a participant
get_rewards
Get rewards configuration for a campaign
list_campaigns
Use this to discover available campaigns before querying specific ones. List all referral campaigns in your Viral Loops account
list_participants
Useful for leaderboard analysis and participant management. List all participants in a referral campaign
update_participant
Update information for an existing participant
Example Prompts for Viral Loops in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Viral Loops immediately.
"Show me all my referral campaigns."
"Get the referral URL for user@example.com in campaign 123."
"Show me the stats for campaign 123."
Troubleshooting Viral Loops MCP Server with LlamaIndex
Common issues when connecting Viral Loops to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpViral Loops + LlamaIndex FAQ
Common questions about integrating Viral Loops 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 Viral Loops 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 Viral Loops to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.