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How to Use the Fidelizador MCP in OpenAI Agents SDK

Build production-ready loyalty workflows using the OpenAI Agents SDK to manage your Fidelizador customer lists securely.

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OpenAI Agents SDK

Connect Fidelizador MCP to OpenAI Agents SDK

Create your Vinkius account to connect Fidelizador 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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Safe contact updates with OpenAI Agents SDK

Your OpenAI Agents SDK instances can now modify Fidelizador loyalty profiles without risking database corruption. By exposing `update_contact` and `create_contact` to your OpenAI Agents SDK workflows, you can let models update Fidelizador loyalty points on the fly. The OpenAI Agents SDK runs these tools through its built-in guardrails, checking the payload before committing any changes to Fidelizador. This setup prevents rogue actions when your OpenAI Agents SDK pipeline processes automated Fidelizador emails. If an agent tries to wipe out a profile, the OpenAI Agents SDK catches it before `delete_contact` ever hits the Fidelizador server. It keeps your Fidelizador loyalty data clean while letting your OpenAI Agents SDK models handle database updates.

Auto-discover mailing lists for targeted campaigns

Stop writing custom wrappers to fetch your Fidelizador marketing segments using the OpenAI Agents SDK. When you register this MCP Server with the OpenAI Agents SDK, your specialized agents instantly discover `list_mailing_lists` and `create_mailing_list` right out of the box. The OpenAI Agents SDK agent understands exactly when to group customers into new Fidelizador loyalty tiers based on buying habits. This discovery happens during the initial OpenAI Agents SDK handshake, saving you hours of manual Fidelizador tool definition. Your system can hand off tasks to a specialized OpenAI Agents SDK marketing agent, who then runs `get_campaign` to inspect Fidelizador performance metrics.

Track campaign metrics with full agent tracing

Debugging Fidelizador loyalty automation with the OpenAI Agents SDK shouldn't feel like searching for a needle in a haystack. When your OpenAI Agents SDK agent invokes `list_campaigns` to analyze active promotions, every step is logged directly to your developer dashboard. You see the exact prompt, the tool call, and the raw loyalty data returned from the Fidelizador server. This visibility makes it easy to audit how your autonomous OpenAI Agents SDK workflows make Fidelizador decisions. If an OpenAI Agents SDK agent pulls details via `list_contacts` to target inactive Fidelizador users, you can trace the entire reasoning loop.

Setup guide

Set up Fidelizador 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. 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. 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 Fidelizador tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Fidelizador 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="Fidelizador Agent",
            instructions="You have access to Fidelizador 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 Fidelizador. 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 Fidelizador MCP in OpenAI Agents SDK

Install the SDK via pip and initialize the HTTP transport using your Vinkius endpoint token. Pass the server instance directly into your Agent constructor's server list to enable auto-discovery of all loyalty tools.
Yes, you can use the SDK's built-in guardrails to intercept tool calls before execution. This ensures your agent never deletes a record without meeting your safety criteria.
It does. You can have a triage agent collect user details, then hand off the conversation to a loyalty agent that executes `create_contact` or updates mailing lists.
Set the cache parameter to true when defining your server stream. This prevents the agent from making redundant network requests every time it needs to check active campaign details.
All operations run inside Vinkius's zero-trust V8 Isolate Sandbox. Your customer emails, names, and loyalty tier data are processed in ephemeral environments, ensuring no data is ever cached or stored on the hosting infrastructure.

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