How to Use the Fomo MCP in OpenAI Agents SDK

Q: How do I connect the Fomo MCP Server to the OpenAI Agents SDK?

Install openai-agents via pip. Initialize MCPServerStreamableHttp with your Fomo endpoint URL, pass it to the mcpservers array in your Agent constructor, and set cacheToolsList=True for faster tool discovery.

Q: Can my OpenAI agent delete Fomo events automatically?

Yes. The agent calls deleteevent based on the logic you define. You can configure guardrails in the SDK to require human approval before the agent executes the deletion.

Q: What happens if the Fomo API rate limits my OpenAI Agents SDK system?

The SDK handles standard HTTP retries. If createevent fails due to rate limits, the agent receives the error and can pause execution or queue the social proof notification for a later attempt.

Q: How does the agent know which Fomo template to use?

It runs listtemplates to read the available options. You can prompt your agent to select the correct template ID based on the purchase type before it calls createevent.

Build production-grade social proof automation with Fomo and the OpenAI Agents SDK.

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Connect Fomo MCP to OpenAI Agents SDK

Create your Vinkius account to connect Fomo 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 Fomo with OpenAI Agents SDK

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Fomo MCP Server Event Execution

The `create_event` and `update_event` tools let your OpenAI agents push live social proof data directly to your storefront. You define the guardrails in your agent setup, ensuring no malformed purchase notifications hit your live feed. Your production agent evaluates incoming data, structures the payload, and fires the event. Tracing via the OpenAI dashboard tracks exactly when your agent triggers a `delete_event` call to scrub old notifications. The SDK handles the handoff between a data-gathering agent and the Fomo execution agent. You get full visibility into every template modification made via `create_template`.

Template and Message Sync

Your agent reads active messaging configurations using `list_templates` and `get_template` to ensure new events match your current brand voice. When an OpenAI agent drafts a new purchase notification, it pulls the exact template parameters required by the Fomo API before execution. The MCP server's auto-discovery instantly maps these 11 tools, meaning your agent knows exactly how to query `get_application_info` without manual schema definition. You just pass the HTTP server parameters and let the agent work. You can also audit outgoing broadcasts using `list_push_messages`.

Integration Auditing

Use the `list_integrations` tool to let your OpenAI agent map out every external service currently feeding data into your Fomo account. If an integration fails, a specialized diagnostic agent can detect the drop in activity via `list_events`. The SDK's built-in validation checks the agent's intent before it attempts to modify these pipelines. You avoid accidental overwrites by configuring strict MCP permissions around `get_event` and update operations. It keeps your e-commerce data flow predictable.

Setup guide

Set up Fomo 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 Fomo tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Fomo 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="Fomo Agent",
            instructions="You have access to Fomo tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fomo. 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 Fomo MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Initialize `MCPServerStreamableHttp` with your Fomo endpoint URL, pass it to the `mcp_servers` array in your Agent constructor, and set `cacheToolsList=True` for faster tool discovery.

Yes. The agent calls `delete_event` based on the logic you define. You can configure guardrails in the SDK to require human approval before the agent executes the deletion.

The SDK handles standard HTTP retries. If `create_event` fails due to rate limits, the agent receives the error and can pause execution or queue the social proof notification for a later attempt.

It runs `list_templates` to read the available options. You can prompt your agent to select the correct template ID based on the purchase type before it calls `create_event`.

The server processes social proof events and push message history. Your OpenAI agent only accesses the exact purchase or signup data required for the notification, and the V8 Isolate Sandbox destroys the execution environment immediately after the API call completes.

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