ReferralHero MCP Server for LangChainGive LangChain instant access to 12 tools to Add Points, Add Subscriber, Delete Subscriber, and more
LangChain is the leading Python framework for composable LLM applications. Connect ReferralHero 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 App Connector for LangChain
The ReferralHero app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"referralhero": {
"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 ReferralHero, 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 ReferralHero MCP Server
Connect your ReferralHero account to any AI agent and take full control of your viral growth orchestration and referral program management through natural conversation. ReferralHero provides a premier platform for building referral loops, and this integration allows you to retrieve subscriber metadata, monitor campaign leaderboards, and manage rewards directly from your chat interface.
LangChain's ecosystem of 500+ components combines seamlessly with ReferralHero 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.
What you can do
- Campaign & List Orchestration — List all managed referral campaigns and retrieve detailed metadata, including creating and updating subscriber records programmatically.
- Subscriber Lifecycle Management — Access and monitor individual subscriber profiles and retrieve detailed performance metadata including point balances directly from the AI interface.
- Leaderboard & Reward Intelligence — Access real-time campaign leaderboards and monitor reward eligibility via natural language to drive program engagement.
- Conversion & Referral Tracking — Track conversion events and attribute referrals to specific subscribers to ensure your growth loops are always synchronized.
- Operational Monitoring — Track system activity and manage transaction metadata using simple AI commands.
The ReferralHero 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.
All 12 ReferralHero tools available for LangChain
When LangChain connects to ReferralHero through Vinkius, your AI agent gets direct access to every tool listed below — spanning referralhero, viral-growth, referral-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add points to a subscriber
Add a new subscriber to a campaign
Remove a subscriber from a campaign
Get campaign leaderboard
Get details for a specific campaign
Get campaign rewards
Get details for a specific subscriber
List all referral campaigns (lists)
List subscribers for a campaign
List recent transactions
Track a referral conversion event
Update an existing subscriber
Connect ReferralHero to LangChain via MCP
Follow these steps to wire ReferralHero into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the ReferralHero MCP Server
LangChain provides unique advantages when paired with ReferralHero through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ReferralHero 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 ReferralHero queries for multi-turn workflows
ReferralHero + LangChain Use Cases
Practical scenarios where LangChain combined with the ReferralHero MCP Server delivers measurable value.
RAG with live data: combine ReferralHero tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ReferralHero, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ReferralHero tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ReferralHero tool call, measure latency, and optimize your agent's performance
Example Prompts for ReferralHero in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with ReferralHero immediately.
"List all active referral lists in my account."
"Show me the leaderboard of top referrers in my active campaign with their reward balances."
"Send a reminder email to all campaign participants who have not shared their referral link yet."
Troubleshooting ReferralHero MCP Server with LangChain
Common issues when connecting ReferralHero to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersReferralHero + LangChain FAQ
Common questions about integrating ReferralHero 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.