How to Use the Chatwoot MCP in AutoGen
Deploy AutoGen agents that debate support tickets and coordinate Chatwoot replies using this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Chatwoot MCP to AutoGen
Create your Vinkius account to connect Chatwoot to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate multi-agent ticket triage
The `list_woot_conversations` tool feeds unassigned tickets into your AutoGen conversation group. A triage AutoGen agent analyzes the text, while a routing agent suggests which team should handle the issue. They debate the Chatwoot priority level based on metadata fetched from `get_conversation_details`. Once the AutoGen agents reach a consensus, the group assigns the ticket to the right Chatwoot inbox.
Debate support resolutions before calling Chatwoot MCP Server
The `send_chat_message` tool is only triggered after your AutoGen agents agree on the best response. A writer AutoGen agent drafts the message, a critic agent reviews it for tone, and a safety agent checks for compliance. This multi-turn AutoGen debate ensures that no automated Chatwoot message goes out without rigorous internal verification. The final approved draft is posted back to the customer's Chatwoot thread.
Audit support agent workloads autonomously
The `list_support_agents` tool allows your supervisor AutoGen agent to check which team members are currently online. It balances the support load by comparing active Chatwoot agent availability with incoming ticket volumes. If one Chatwoot agent is overwhelmed, the AutoGen group coordinates with `get_contact_details` to reassign pending conversations. This ensures your AutoGen group reassigns pending conversations to under-utilized teammates.
Set up Chatwoot MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Chatwoot tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Chatwoot_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Chatwoot data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Chatwoot_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Chatwoot data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chatwoot. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Chatwoot MCP in AutoGen
Use it with your favorite AI tools
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