How to Use the Helpwise MCP in AutoGen
Build AutoGen multi-agent teams that debate and resolve Helpwise customer tickets collaboratively.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Helpwise MCP to AutoGen
Create your Vinkius account to connect Helpwise 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 agent debates over Helpwise tickets
The `get_conversation_details` tool feeds raw customer messages into an AutoGen conversation thread where specialized agents analyze the issue. A technical agent drafts the fix, while a quality agent reviews it for tone before sending. This collaborative approach prevents embarrassing automated replies from reaching customers. The agents debate the best resolution path using actual mailbox data before committing to an action.
Automate mailbox routing via AutoGen consensus
The `list_mailboxes` tool allows your supervisor agent to see all active incoming channels. The agent team discusses which department is best suited for the ticket, using `list_team_members` to check agent availability. Once the team reaches a consensus, they assign the conversation to the correct mailbox. This replaces rigid, rule-based routing with flexible, intelligent decision-making that adapts to your team's real-time workload.
Send verified emails using this MCP Server
The `send_email` tool executes only after your AutoGen safety agent approves the drafted response. If the draft contains sensitive information, the safety agent rejects it and forces the writer agent to revise. This multi-agent verification loop guarantees high-quality customer communication. You get the speed of automation with the safety of a multi-step editorial review process.
Set up Helpwise 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 Helpwise 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="Helpwise_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Helpwise 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="Helpwise_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Helpwise 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 Helpwise. 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 Helpwise MCP in AutoGen
Use it with your favorite AI tools
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