How to Use the GrowthBook MCP in OpenAI Agents SDK
Configure and toggle feature flags using the GrowthBook MCP Server with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GrowthBook MCP to OpenAI Agents SDK
Create your Vinkius account to connect GrowthBook 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.
Production-grade flag toggling via MCP Server
The `toggle_feature` tool changes your GrowthBook flag state instantly without code deployments. Your agent uses this to disable broken features in production or roll out new changes based on live performance metrics. By using this MCP Server with the OpenAI Agents SDK, you get built-in validation guardrails. If your agent tries to toggle a critical flag, the SDK intercepts the call, runs safety checks, and logs the execution trace directly to your OpenAI dashboard.
Dynamic environment configuration
The `create_environment` and `list_environments` tools handle the isolation of your staging and production flag configurations. Your agent reads these environments to verify where a flag is active before making any modifications. This setup lets you define specialized agents for different environments. A staging agent can safely use `update_environment` to test setups, while a production agent handles live traffic configs with tighter SDK guardrails.
Automated project isolation
The `create_project` and `list_projects` tools organize your feature flags into clean, team-specific boundaries. Your agent queries these projects to ensure it only modifies flags belonging to the target service. When your agent discovers new services, it uses `update_project` to keep your GrowthBook dashboard in sync. This prevents configuration drift across large engineering teams without manual dashboard clicking.
Set up GrowthBook 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 GrowthBook tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives GrowthBook tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate GrowthBook 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="GrowthBook Agent",
instructions="You have access to GrowthBook 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 GrowthBook. 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.
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Common questions about GrowthBook MCP in OpenAI Agents SDK
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