Bring Referralhero
to LangChain
Learn how to connect ReferralHero to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your ReferralHero API Token from your account settings
3. Start managing your referral campaigns from Claude, Cursor, or any MCP-compatible client
No more manual leaderboard exports or subscriber hunting. Your AI acts as a dedicated growth operations manager or referral coordinator.
Who is this for?
- Growth Marketers & Founders — quickly retrieve campaign summaries and monitor subscriber growth without switching apps.
- Marketing Operations Teams — automate the management of referral points and track reward distributions via natural conversation.
- Customer Success Teams — streamline the retrieval of subscriber metadata and monitor referral history directly within the chat.
Built-in capabilities (12)
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
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine ReferralHero MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across ReferralHero queries for multi-turn workflows
ReferralHero in LangChain
ReferralHero and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect ReferralHero to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ReferralHero in LangChain
The ReferralHero 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
ReferralHero for LangChain
Every tool call from LangChain to the ReferralHero MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the details and points for a specific subscriber by providing their ID?
Yes! Use the get_subscriber tool with the List UUID and Subscriber ID. Your agent will respond with complete metadata, including referral counts and current point balances in seconds.
How do I find my ReferralHero API Token?
Log in to your ReferralHero dashboard, navigate to Account > API, and you will find your unique secret token there.
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.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters