Friendbuy MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Friendbuy through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Friendbuy Assistant",
instructions=(
"You help users interact with Friendbuy. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Friendbuy"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 8 tools from Friendbuy through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Friendbuy, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Friendbuy MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Friendbuy
Why Use OpenAI Agents SDK with the Friendbuy MCP Server
OpenAI Agents SDK provides unique advantages when paired with Friendbuy through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Friendbuy + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Friendbuy MCP Server delivers measurable value.
Automated workflows: build agents that query Friendbuy, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Friendbuy, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Friendbuy tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Friendbuy to resolve tickets, look up records, and update statuses without human intervention
Friendbuy MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Friendbuy to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Friendbuy to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Friendbuy + OpenAI Agents SDK FAQ
Common questions about integrating Friendbuy MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Friendbuy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
