ChatBot.com MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ChatBot.com as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="chatbotcom_agent",
tools=tools,
system_message=(
"You help users with ChatBot.com. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ChatBot.com tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the ChatBot.com MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from ChatBot.com automatically
Why Use AutoGen with the ChatBot.com MCP Server
AutoGen provides unique advantages when paired with ChatBot.com through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ChatBot.com tools to solve complex tasks
Role-based architecture lets you assign ChatBot.com tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive ChatBot.com tool calls
Code execution sandbox: AutoGen agents can write and run code that processes ChatBot.com tool responses in an isolated environment
ChatBot.com + AutoGen Use Cases
Practical scenarios where AutoGen combined with the ChatBot.com MCP Server delivers measurable value.
Collaborative analysis: one agent queries ChatBot.com while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from ChatBot.com, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using ChatBot.com data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process ChatBot.com responses in a sandboxed execution environment
ChatBot.com MCP Tools for AutoGen (8)
These 8 tools become available when you connect ChatBot.com to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting ChatBot.com to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"ChatBot.com + AutoGen FAQ
Common questions about integrating ChatBot.com MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect ChatBot.com with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
