BotPenguin MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect BotPenguin through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="BotPenguin Assistant",
instructions=(
"You help users interact with BotPenguin. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from BotPenguin"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About BotPenguin MCP Server
Connect your BotPenguin account to any AI agent and orchestrate your customer conversations, lead generation, and support workflows through natural language.
The OpenAI Agents SDK auto-discovers all 8 tools from BotPenguin through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries BotPenguin, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Contact Management — List and search for contacts or leads collected by your chatbots across multiple channels.
- Chat Oversight — Retrieve active and historical chat sessions to monitor agent and bot performance.
- Conversation Logging — Access the full message history for specific chat sessions.
- Message Automation — Send messages directly into active chats to assist users programmatically.
- Authentication Support — Trigger OTP SMS messages to verify user phone numbers.
- Team Coordination — List all configured tags and human agents to ensure proper lead routing.
The BotPenguin MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect BotPenguin to OpenAI Agents SDK via MCP
Follow these steps to integrate the BotPenguin MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from BotPenguin
Why Use OpenAI Agents SDK with the BotPenguin MCP Server
OpenAI Agents SDK provides unique advantages when paired with BotPenguin through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
BotPenguin + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the BotPenguin MCP Server delivers measurable value.
Automated workflows: build agents that query BotPenguin, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries BotPenguin, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through BotPenguin tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query BotPenguin to resolve tickets, look up records, and update statuses without human intervention
BotPenguin MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect BotPenguin to OpenAI Agents SDK via MCP:
get_chat_history
Retrieve message history of a chat
get_contact
Get details of a specific contact
list_agents
List all human agents/operators
list_chats
List active chat sessions
list_contacts
Optional search text. List all BotPenguin contacts/leads
list_tags
List all contact tags
send_message
Send a message in a specific chat
send_otp
Send an OTP SMS to verify a phone number
Example Prompts for BotPenguin in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with BotPenguin immediately.
"List the most recent contacts in BotPenguin."
"Show the chat history for chat session chat_123."
"Send an OTP SMS to +1555998877."
Troubleshooting BotPenguin MCP Server with OpenAI Agents SDK
Common issues when connecting BotPenguin to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
BotPenguin + OpenAI Agents SDK FAQ
Common questions about integrating BotPenguin MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect BotPenguin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BotPenguin to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.