How to Use the Betterfly MCP in OpenAI Agents SDK
Plug Betterfly into your OpenAI Agents SDK pipeline to track wellness data and ESG metrics without writing custom glue code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Betterfly MCP to OpenAI Agents SDK
Create your Vinkius account to connect Betterfly to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage team challenges and rewards
Your agent can trigger `create_challenge` to set up new activities or use `assign_reward` to hand out bonuses based on performance. The SDK handles the heavy lifting so your agent logic stays clean. Everything flows through the `MCPServerStreamableHttp` interface. Your production agent verifies these actions through built-in guardrails before anything hits the Betterfly backend.
Pull wellness stats for your OpenAI agents
Get deep insight into your workforce using `get_company_metrics` and `get_impact_stats`. These tools feed live data directly into your agent's reasoning loop. By setting `cacheToolsList=True` in your configuration, you keep the interaction snappy. Your agent gains immediate access to the full suite of Betterfly functions without latency.
Monitor employee health engagement
Use `list_activities` and `get_user` to inspect individual wellness progress. It gives your agent the context needed to provide relevant feedback to team members. This MCP Server provides the exact hooks your agent requires. It keeps your data organized and your wellness tracking focused on real-time activity metrics.
Set up Betterfly MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Betterfly tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Betterfly tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Betterfly tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Betterfly Agent",
instructions="You have access to Betterfly tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Betterfly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Betterfly MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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