Chatwoot 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 Chatwoot 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="chatwoot_agent",
tools=tools,
system_message=(
"You help users with Chatwoot. "
"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 Chatwoot MCP Server
Connect your Chatwoot account to any AI agent and take full control of your customer support and engagement through natural conversation. Streamline how you manage chats across Web, WhatsApp, Facebook, and more.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Chatwoot 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
- Conversation Oversight — List and retrieve details for all active and resolved conversations natively
- Live Replying — Send messages to customers in active chat sessions flawlessly
- Contact Management — List and retrieve detailed customer contact information and history securely
- Inbox Intelligence — Monitor all configured inboxes, including Web widgets and social integrations flawlessly
- Agent Tracking — List all support agents and manage team availability in real-time
- Message History — Access complete chat histories to understand customer context directly within your workspace
The Chatwoot 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 Chatwoot to AutoGen via MCP
Follow these steps to integrate the Chatwoot 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 Chatwoot automatically
Why Use AutoGen with the Chatwoot MCP Server
AutoGen provides unique advantages when paired with Chatwoot through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Chatwoot tools to solve complex tasks
Role-based architecture lets you assign Chatwoot 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 Chatwoot tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Chatwoot tool responses in an isolated environment
Chatwoot + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Chatwoot MCP Server delivers measurable value.
Collaborative analysis: one agent queries Chatwoot while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Chatwoot, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Chatwoot data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Chatwoot responses in a sandboxed execution environment
Chatwoot MCP Tools for AutoGen (8)
These 8 tools become available when you connect Chatwoot to AutoGen via MCP:
get_chat_history
Retrieve the message history for a specific conversation
get_contact_details
Get detailed information for a specific customer contact
get_conversation_details
Get detailed information for a specific conversation
list_chatwoot_contacts
List all customer contacts
list_chatwoot_inboxes
List all configured inboxes (Web, WhatsApp, etc)
list_support_agents
List all support agents in the account
list_woot_conversations
List all conversations in the account
send_chat_message
Send a message to a customer in a specific conversation
Example Prompts for Chatwoot in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Chatwoot immediately.
"List all active conversations in Chatwoot."
"What did the customer in conversation ID 555 say last?"
"Reply to conversation 555: 'I'll look into this right now for you, Sarah.'"
Troubleshooting Chatwoot MCP Server with AutoGen
Common issues when connecting Chatwoot to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Chatwoot + AutoGen FAQ
Common questions about integrating Chatwoot 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 Chatwoot 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.
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 Chatwoot to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.