How to Use the Loops MCP in OpenAI Agents SDK
Trigger Loops transactional emails and sync contact states directly from your production OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Loops MCP to OpenAI Agents SDK
Create your Vinkius account to connect Loops 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.
Run Loops transactional emails through OpenAI Agents SDK
The `send_transactional_email` tool lets your agent dispatch template-driven emails right from your Python code block. When your production agent detects a completed onboarding step, it hits this endpoint with the exact template variables required. You don't write custom API wrapper logic. The OpenAI Agents SDK auto-discovers this tool, mapping validation constraints directly to your Loops transactional setup so the agent never sends malformed payload variables.
Maintain user lists using this specialized MCP Server
This MCP Server exposes contact-level control so your agent can track user preferences dynamically. Tools like `create_contact`, `update_contact`, and `delete_contact` let your system sync marketing states as conversations happen. The agent detects when a user wants to subscribe, pulls their details, and adds them to a specific list. It keeps your marketing database aligned with actual user intent during live chats.
Verify recipient status before sending
The `get_contact_suppression` tool checks if a recipient has opted out before your agent attempts to trigger an automated message. Your agent runs this check via the MCP interface to protect your domain reputation. Combining this with `find_contact` ensures your OpenAI Agents SDK doesn't waste API quota on inactive or blacklisted email records. The agent can route suppressed users to alternative channels instead of failing silently.
Set up Loops 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 Loops tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Loops tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Loops 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="Loops Agent",
instructions="You have access to Loops 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 Loops. 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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Built-in savings
60%
lower AI costs
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place for every integration
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Common questions about Loops MCP in OpenAI Agents SDK
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