How to Use the ConfigCat MCP in OpenAI Agents SDK

Q: Can ConfigCat handle flag updates in OpenAI Agents SDK?

Absolutely. Your agent uses the updatesettingvalue tool to push changes to your backend. The action is traced through your standard dashboard logs.

Manage feature flags in OpenAI Agents SDK without leaving your code. Toggle production settings via MCP server tools.

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Connect ConfigCat MCP to OpenAI Agents SDK

Create your Vinkius account to connect ConfigCat 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.

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Setup ConfigCat with OpenAI Agents SDK

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Control feature flags in OpenAI Agents SDK

Your agent handles flag updates directly using `update_setting_value`. It checks current states with `get_setting_value` before making changes. This keeps your deployment logic inside your agent logic. You save time by skipping the manual dashboard clicks.

Manage environment settings via MCP Server

Create new flags or environments on the fly using `create_setting` and `create_environment`. Your agent keeps your product structure organized. It lists everything with `list_configs` so you always know what is active. You get a clear view of your infrastructure state in real-time.

Automate segment logic in your agent

Your agent defines user segments using `create_segment`. It removes stale segments with `delete_segment` to keep your environment clean. This ensures your targeting rules remain accurate. You stop worrying about outdated rules cluttering your codebase.

Setup guide

Set up ConfigCat MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ConfigCat tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ConfigCat tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ConfigCat tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="ConfigCat Agent",
            instructions="You have access to ConfigCat tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about ConfigCat MCP in OpenAI Agents SDK

You pass the server instance directly to the Agent constructor. Use the MCPServerStreamableHttp class to point the agent at your Vinkius endpoint.

Yes. Set cacheToolsList to True when initializing your agent. This speeds up tool discovery for your production agent system.

Absolutely. Your agent uses the update_setting_value tool to push changes to your backend. The action is traced through your standard dashboard logs.

Vinkius handles the auth layer for you. You just provide the endpoint token and your agent handles the rest.

Your feature flag definitions and environment keys are encrypted in transit. This MCP server only touches your flag settings and configuration metadata.

Use it with your favorite AI tools

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