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Genius Referrals MCP Server for LangChain 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
Genius Referrals
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine Genius Referrals MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine Genius Referrals tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Genius Referrals, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Genius Referrals tools with web scrapers, databases, and calculators in a single agent run

04

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:

01

get_advocate_details

Get advocate metadata

02

get_campaign_details

Get campaign metadata

03

get_my_account

Get account identity

04

list_awarded_bonuses

List earned rewards

05

list_payout_requests

List redemption requests

06

list_program_advocates

List advocates

07

list_referral_campaigns

List campaigns

08

list_top_performers

List top advocates

09

list_tracked_referrals

List referral events

10

log_referral_conversion

g. signup or purchase). Track a referral

11

register_advocate

Register new advocate

12

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.

01

"List all active referral campaigns in my account."

02

"Register 'Jane Smith' (jane@example.com) as a new advocate."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Genius Referrals + LangChain FAQ

Common questions about integrating Genius Referrals MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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.