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Referly MCP Server for LangChainGive LangChain instant access to 12 tools to Create Affiliate, Get Affiliate Details, Get Current User, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Referly 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 Referly 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

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

asyncio.run(main())
Referly
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 Referly MCP Server

Connect your Referly (referly.so) account to any AI agent and take full control of your referral marketing and affiliate orchestration through natural conversation. Referly provides a powerful platform for managing partners and conversion tracking, and this integration allows you to retrieve affiliate metadata, trigger custom referral workflows, and monitor program performance directly from your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with Referly 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

  • Affiliate & Partner Orchestration — List all managed affiliates and retrieve detailed performance metadata, including creating new partner profiles programmatically.
  • Referral & Conversion Intelligence — Track real-time conversion events and attribute sign-ups or sales to specific referral codes directly from the AI interface.
  • Workflow & Automation Control — Trigger custom referral workflows and monitor their execution statuses via natural language to keep your growth loops synchronized.
  • Coupon & Promo Oversight — Validate discount coupons and list active promo codes to ensure your marketing campaigns are always optimized.
  • Operational Monitoring — Access analytics summaries and manage tenant metadata using simple AI commands.

The Referly 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 Referly tools available for LangChain

When LangChain connects to Referly through Vinkius, your AI agent gets direct access to every tool listed below — spanning referly, referrals, affiliate-marketing, 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.

create_affiliate

Requires name and email. Create a new affiliate

get_affiliate_details

Get details for a specific affiliate

get_current_user

Get authenticated user profile

get_referral_analytics

Get referral performance summary

get_workflow_status

Check workflow execution status

list_affiliates

List all affiliates/partners

list_coupons

List all discount coupons

list_referral_workflows

List automation workflows

list_referrals

List all referral events

track_referral_event

Track a new referral conversion

trigger_workflow

Manually trigger a workflow

validate_coupon

Validate a discount coupon

Connect Referly to LangChain via MCP

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

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 Referly via MCP

Why Use LangChain with the Referly MCP Server

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

01

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

Referly + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Referly in LangChain

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

01

"List all active affiliates in my Referly account."

02

"Show me the performance of all active referral programs with conversion rates this month."

03

"Create a new referral campaign offering $50 credit for each successful customer referral."

Troubleshooting Referly MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Referly + LangChain FAQ

Common questions about integrating Referly 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.