Friendbuy MCP Server for LangChain 8 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
The largest ecosystem of integrations, chains, and agents. combine Friendbuy 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 Friendbuy queries for multi-turn workflows
Friendbuy + LangChain Use Cases
Practical scenarios where LangChain combined with the Friendbuy MCP Server delivers measurable value.
RAG with live data: combine Friendbuy tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Friendbuy, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Friendbuy tools with web scrapers, databases, and calculators in a single agent run
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:
check_api_connection
Verify API access
create_referral_code
Generate share code
get_referral_code_status
Check code status
list_referral_rewards
List awarded referrals
list_tracked_purchases
List tracked purchases
list_webhooks
List webhook configs
track_conversion_purchase
Log a purchase
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.
"List all recent referral rewards distributed."
"Generate a new referral code for customer 'user_123' (jane@email.com)."
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFriendbuy + LangChain FAQ
Common questions about integrating Friendbuy 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Friendbuy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Friendbuy to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
