How to Use the AntEater MCP in OpenAI Agents SDK

Feed real-time team activity and contact history directly to your OpenAI Agents SDK production deployments without the mess.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AntEater MCP to OpenAI Agents SDK

Create your Vinkius account to connect AntEater 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.

GDPR Free for Subscribers

Setup AntEater with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit team communications with this MCP Server

This MCP Server exposes your team's communication logs and contact histories directly to your agents. Production setups need to know who said what and when. By calling `get_contact_history` and `search_activity`, your agent pulls exact message trails across Slack and email channels. We don't do messy integrations here. The server exposes raw activity data so your agent can map out client interactions before making its next move.

Map contacts and team structures instantly

The contact lookup tools in this server let your agent map team structures and directories on demand. Stop hardcoding directory searches. Your agent can run `list_users` and `search_contacts` to find the exact person handling an account. This means your agent can route tasks to the right owner without human intervention. If a contact changes companies, `get_user` keeps the agent's context fresh.

Track live internal team operations

This team monitoring server tracks live internal operations and recent updates across your channels. Keep tabs on internal momentum. By calling `list_recent_activity` and `get_user_activity`, your agent builds a clear picture of who is working on what right now. It is perfect for automated status updates. The agent runs these checks in the background, keeping your dashboards accurate without nagging your developers.

Setup guide

Set up AntEater 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 AntEater tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AntEater. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AntEater now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AntEater MCP in OpenAI Agents SDK

Install the SDK using pip install openai-agents, then use MCPServerStreamableHttp to connect to the Vinkius endpoint. Pass the server object inside the mcp_servers list when initializing your Agent. Set cacheToolsList=True to keep tool discovery fast and efficient.

Yes, absolutely. The SDK has built-in guardrails that intercept tool calls like `search_activity` or `get_contact_history` before they execute. You can inspect the arguments and block unauthorized requests at the runtime level.

Yes, it works natively with multi-agent setups. You can have a specialized triage agent check connectivity with `check_anteater_status` and then hand off the task to a research agent that queries contact logs using this MCP connector.

You use the OpenAI developer dashboard. Every time your agent calls `list_recent_activity` or searches for a contact, the full trace and payload appear in your logs for easy debugging.

We take data privacy seriously. Your Slack and email search logs never touch persistent storage on our end. Everything runs through an isolated V8 sandbox that destroys the session context the moment your agent finishes its query.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript