ChatBot.com 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 ChatBot.com 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="ChatBot.com Assistant",
instructions=(
"You help users interact with ChatBot.com. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ChatBot.com"
)
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 ChatBot.com MCP Server
Connect your ChatBot.com account to any AI agent and take full control of your conversational automation through natural conversation. Streamline how you build and monitor your customer service bots.
The OpenAI Agents SDK auto-discovers all 8 tools from ChatBot.com through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ChatBot.com, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Story Oversight — List and retrieve details for all conversational stories and bot workflows natively
- Interaction Intelligence — Access and monitor interactions within specific stories to understand user paths flawlessly
- User Management — List all users who have interacted with your bot and retrieve their detailed profiles securely
- Integration Auditing — List and review configured webhook integrations and entities flawlessly
- Training Logistics — Retrieve unrecognized phrases to identify areas where your bot needs additional training flawlessly
- System Metadata — Access entity definitions and core account structures directly within your workspace
The ChatBot.com 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 ChatBot.com to OpenAI Agents SDK via MCP
Follow these steps to integrate the ChatBot.com 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 ChatBot.com
Why Use OpenAI Agents SDK with the ChatBot.com MCP Server
OpenAI Agents SDK provides unique advantages when paired with ChatBot.com 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
ChatBot.com + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ChatBot.com MCP Server delivers measurable value.
Automated workflows: build agents that query ChatBot.com, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ChatBot.com, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ChatBot.com tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ChatBot.com to resolve tickets, look up records, and update statuses without human intervention
ChatBot.com MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect ChatBot.com to OpenAI Agents SDK via MCP:
get_chatbot_user_details
Get details for a specific chatbot user
get_story_details
Get detailed information for a specific story
list_chatbot_entities
List custom entities used for NLP matching
list_chatbot_stories
List all stories (bot workflows)
list_chatbot_users
List all users who have interacted with the bot
list_chatbot_webhooks
List all configured webhook integrations
list_story_interactions
List all interactions within a story
list_training_data
List unrecognized phrases that require bot training
Example Prompts for ChatBot.com in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ChatBot.com immediately.
"List all conversational stories in my account."
"What training data is pending review?"
"Search for users who interacted with the bot today."
Troubleshooting ChatBot.com MCP Server with OpenAI Agents SDK
Common issues when connecting ChatBot.com to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ChatBot.com + OpenAI Agents SDK FAQ
Common questions about integrating ChatBot.com 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 ChatBot.com 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 ChatBot.com to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.