How to Use the BotGenuity MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK setup handle multiple BotGenuity bots?

Yes. The agent calls listchatbots to see everything available and then targets specific bots. You do not need to hardcode bot IDs in your Python files.

Build production-grade support agents that control your BotGenuity bots using the OpenAI Agents SDK.

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Connect BotGenuity MCP to OpenAI Agents SDK

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

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The `chat_with_bot` tool lets your OpenAI agents talk directly to your support bots to fetch live answers. You get instant access to customer conversations without leaving your Python runtime. This integration prevents your agent from going off the rails. Built-in guardrails inspect every tool call before execution, giving you safety controls that other frameworks lack.

Extract leads and trace history in OpenAI Agents SDK

Use `list_captured_leads` to pull contact details directly into your sales pipeline. The agent handles the lookup, and you can inspect the execution path using the OpenAI dashboard. If a customer complains about an old issue, the agent calls `get_conversation_history` to read the entire log. You can trace this exact operation step-by-step to see how the model made its decision.

Audit your bot fleet automatically

The `list_chatbots` tool returns every active bot in your account with zero manual mapping. Your agent scans the list, identifies inactive setups, and uses `get_chatbot_details` to audit their configurations. Setting up this connection takes one HTTP endpoint. This MCP integration auto-discovers these tools, meaning you write the agent logic once and let the schema handle the rest.

Setup guide

Set up BotGenuity 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 BotGenuity tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about BotGenuity MCP in OpenAI Agents SDK

Install the SDK via pip and initialize the streamable HTTP server using your Vinkius endpoint. Pass the MCP server instance directly into your Agent constructor. Keep tool caching enabled to avoid unnecessary network roundtrips.

Yes. The agent calls `list_chatbots` to see everything available and then targets specific bots. You do not need to hardcode bot IDs in your Python files.

Yes, you can design specialized agents for different tasks. One agent can pull history using `get_conversation_history` and hand off to a sales agent once it detects a lead.

The MCP catches the error and returns the failure state to the agent. This allows the model to try a different approach or report the error back to your team.

All conversation logs and captured leads remain isolated within the Vinkius MCP sandbox. No raw customer support transcripts are stored on our servers; they merely pass through to your OpenAI environment.

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