Referrizer MCP Server for LangChainGive LangChain instant access to 11 tools to Create Contact, Get Campaign, Get Contact Details, and more

Name: Referrizer
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Referrizer through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Referrizer MCP Server for LangChain is a standout in the Marketing Automation category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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({
        "referrizer": {
            "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 Referrizer, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Referrizer MCP Server

Connect your Referrizer account to any AI agent and simplify your referral marketing, customer loyalty, and retention workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Referrizer through native MCP adapters. Connect 11 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

Contact Management — List all customers and contacts, retrieve detailed profile metadata, and monitor loyalty points and status
Referral Tracking — Access a history of successful and pending customer referrals to understand your word-of-mouth growth
Campaign Control — Query past and active marketing automation campaigns to monitor your outreach performance
Loyalty Rewards — List available rewards and incentives to choose the right context for each interaction
Direct Enrollment — Register new contacts and customers programmatically directly from your agent

The Referrizer MCP Server exposes 11 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Referrizer tools available for LangChain

When LangChain connects to Referrizer through Vinkius, your AI agent gets direct access to every tool listed below — spanning referral-marketing, loyalty-programs, customer-retention, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Update a contact profile

Connect Referrizer to LangChain via MCP

Follow these steps to wire Referrizer into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 11 tools from Referrizer via MCP

Why Use LangChain with the Referrizer MCP Server

LangChain provides unique advantages when paired with Referrizer through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Referrizer 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 Referrizer queries for multi-turn workflows

Referrizer + LangChain Use Cases

Practical scenarios where LangChain combined with the Referrizer MCP Server delivers measurable value.

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

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

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

Production monitoring: use LangSmith to trace every Referrizer tool call, measure latency, and optimize your agent's performance

Example Prompts for Referrizer in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Referrizer immediately.

"List all active contacts in Referrizer."

"Show me the ROI analysis for all active loyalty and referral campaigns."

"Create a new contact and enroll them in the Birthday Rewards campaign."

Troubleshooting Referrizer MCP Server with LangChain

Common issues when connecting Referrizer to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Referrizer + LangChain FAQ

Common questions about integrating Referrizer MCP Server with LangChain.

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.

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