Genius Referrals MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Genius Referrals through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"genius-referrals": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Genius Referrals, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Genius Referrals MCP Server
Connect your Genius Referrals account to any AI agent to automate your referral marketing and advocate engagement through the Model Context Protocol (MCP). Genius Referrals is a robust platform that helps brands build sophisticated word-of-mouth campaigns. This MCP server enables you to manage your advocate database, track referral conversions, and retrieve reward distributions directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Genius Referrals through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
Key Features
- Advocate Management — List all advocates in your program, retrieve detailed profile metadata, and programmatically register new promoters.
- Referral Tracking — Monitor all tracked referral conversions (signups, purchases) and check their current status instantly.
- Campaign Discovery — Access your configured referral campaigns and fetch detailed rules and reward structures.
- Reward Oversight — List awarded bonuses and rewards distributed to advocates to understand your program's performance.
- Redemption Requests — Monitor requests from advocates to claim or payout their earned rewards.
- Performance Insights — Identify your top-performing advocates and track the total referral count for your business.
- Real-time Synchronization — Keep your referral marketing data accessible to your AI assistant without leaving your primary workspace.
The Genius Referrals MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain 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 Genius Referrals to LangChain via MCP
Follow these steps to integrate the Genius Referrals MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Genius Referrals via MCP
Why Use LangChain with the Genius Referrals MCP Server
LangChain provides unique advantages when paired with Genius Referrals through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Genius Referrals MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Genius Referrals queries for multi-turn workflows
Genius Referrals + LangChain Use Cases
Practical scenarios where LangChain combined with the Genius Referrals MCP Server delivers measurable value.
RAG with live data: combine Genius Referrals tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Genius Referrals, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Genius Referrals tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Genius Referrals tool call, measure latency, and optimize your agent's performance
Genius Referrals MCP Tools for LangChain (12)
These 12 tools become available when you connect Genius Referrals to LangChain via MCP:
get_advocate_details
Get advocate metadata
get_campaign_details
Get campaign metadata
get_my_account
Get account identity
list_awarded_bonuses
List earned rewards
list_payout_requests
List redemption requests
list_program_advocates
List advocates
list_referral_campaigns
List campaigns
list_top_performers
List top advocates
list_tracked_referrals
List referral events
log_referral_conversion
g. signup or purchase). Track a referral
register_advocate
Register new advocate
verify_api_connection
Check connection
Example Prompts for Genius Referrals in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Genius Referrals immediately.
"List all active referral campaigns in my account."
"Register 'Jane Smith' (jane@example.com) as a new advocate."
"Show me the 5 most recent referral conversions."
Troubleshooting Genius Referrals MCP Server with LangChain
Common issues when connecting Genius Referrals to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGenius Referrals + LangChain FAQ
Common questions about integrating Genius Referrals MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Genius Referrals 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 Genius Referrals to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
