2,500+ MCP servers ready to use
Vinkius

Friendbuy MCP Server for LangChain 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Friendbuy 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({
        "friendbuy": {
            "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 Friendbuy, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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

Connect your Friendbuy account to any AI agent to automate your referral programs and customer loyalty workflows through the Model Context Protocol (MCP). Friendbuy is a high-growth referral marketing platform that powers word-of-mouth campaigns for leading brands. This MCP server enables you to track referral events, log conversions, and retrieve reward distributions directly through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Friendbuy through native MCP adapters. Connect 8 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

  • Referral Rewards Tracking — List all distributed referral rewards and filter them by advocate to understand who your top promoters are.
  • Conversion Logging — Post purchase and signup events programmatically to trigger the referral reward lifecycle.
  • Code Generation & Verification — Create personal referral codes for customers and check their active statuses instantly.
  • Purchase History — Retrieve a list of all tracked purchases that have been attributed to referral campaigns.
  • Webhook Monitoring — List configured webhooks to ensure your internal systems are receiving real-time reward notifications.
  • API Health Checks — Verify your connection to both the Merchant API and Developer API v2 environments seamlessly.

The Friendbuy MCP Server exposes 8 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 Friendbuy to LangChain via MCP

Follow these steps to integrate the Friendbuy 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 8 tools from Friendbuy via MCP

Why Use LangChain with the Friendbuy MCP Server

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

01

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

Friendbuy + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Friendbuy MCP Tools for LangChain (8)

These 8 tools become available when you connect Friendbuy to LangChain via MCP:

01

check_api_connection

Verify API access

02

create_referral_code

Generate share code

03

get_referral_code_status

Check code status

04

list_referral_rewards

List awarded referrals

05

list_tracked_purchases

List tracked purchases

06

list_webhooks

List webhook configs

07

track_conversion_purchase

Log a purchase

08

track_conversion_signup

Log a signup

Example Prompts for Friendbuy in LangChain

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

01

"List all recent referral rewards distributed."

02

"Generate a new referral code for customer 'user_123' (jane@email.com)."

03

"Track a $50 purchase for order 'ORD-987' from 'friend@email.com' using code 'JANE-REF-99'."

Troubleshooting Friendbuy MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Friendbuy + LangChain FAQ

Common questions about integrating Friendbuy 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 Friendbuy to LangChain

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.