How to Use the Mention MCP in OpenAI Agents SDK

Q: Can I use Mention with multi-agent handoffs via MCP?

Absolutely. You can have one agent run listalerts to find issues, and then hand off the specific alert ID to a responder agent that calls getmentiondetails to draft replies.

Feed real-time brand sentiment directly to your OpenAI Agents SDK pipelines without writing custom polling scripts.

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Connect Mention MCP to OpenAI Agents SDK

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

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Automate Brand Firefighting in OpenAI Agents SDK

When a PR crisis hits, your OpenAI Agents SDK workflow needs to know instantly. By hooking up this MCP Server, your agents auto-discover `list_alerts` and can immediately pull active alerts the second they trigger. No manual API wrapping is required; the agent registers the tool and starts watching your brand health. If a spike occurs, the agent uses `get_alert_statistics` to measure the volume jump. This triggers a handoff to a specialized cleanup agent that drafts responses based on the exact context of the trouble.

Deep Dive Into Social Post Context

Raw numbers don't tell the whole story when tracking brand sentiment. Your agent uses `get_mention_details` to inspect the exact text and source of any post. This lets the OpenAI Agents SDK guardrails validate if a response is actually needed before your system takes action. For broader searches, the agent executes `search_mentions` to find related posts across different platforms. You get a clear picture of whether a complaint is an isolated incident or a coordinated campaign.

Audit Your Connected Channels

Before your agent tries to post a reply, it must know where it can actually write. This MCP Server lets you call `list_connected_external_accounts` to see which social profiles are active and authorized. You avoid hitting dead ends or trying to post to unlinked platforms. The agent also runs `list_account_users` to verify who owns the alert configurations. This keeps your automated workflows aligned with the human team members who manage the brand's main account.

Setup guide

Set up Mention 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 Mention tools at runtime.
3

Create your Agent

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

Run the agent

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

You pass the server URL to the streamable HTTP constructor and include it in the agent's server list. The SDK automatically queries the endpoint to expose tools like `list_alerts` and `search_mentions` to your model.

Yes, you can control tool access through the SDK's built-in guardrails or by configuring the Vinkius gateway. This ensures your agent only calls `list_mentions` without having access to account modification tools.

The SDK relies on the Vinkius hosting layer to manage connection pooling for this MCP Server. When tools like `get_alert_statistics` hit limits, the agent receives a clean error and can execute its built-in retry logic.

Absolutely. You can have one agent run `list_alerts` to find issues, and then hand off the specific alert ID to a responder agent that calls `get_mention_details` to draft replies.

Your social media mentions and account details stay strictly inside the V8 sandbox environment. Vinkius processes these transient payloads ephemerally, ensuring your MCP Server data is never cached or used for training models.

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