How to Use the Kustomer MCP in AutoGen

Q: Can AutoGen agents check Kustomer API health?

Yes. Your AutoGen supervisor agent can run checkkustomerapistatus before initiating a multi-agent debate to ensure the platform is responsive.

Q: How do AutoGen agents access Kustomer custom classes?

The agents call listdataklasses to fetch your custom data schema. They use this schema to structure their debates and ensure they query custom fields correctly.

Q: Can AutoGen search across Kustomer timelines?

Yes. AutoGen agents can invoke searchkustomertimeline with custom JSON filters to retrieve historical event data and use it to resolve complex debates.

Deploy AutoGen agents that debate and resolve Kustomer support tickets using real-time conversation data.

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Create your Vinkius account to connect Kustomer 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.

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Setup Kustomer with AutoGen

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Let AutoGen agents debate Kustomer routing

This MCP Server exposes `list_support_queues` so your AutoGen agents can debate and decide where to route complex tickets. This consensus-driven approach avoids misrouting VIP tickets. One AutoGen agent checks the status via `get_customer_profile` while another reviews active queues, negotiating the best path before making a final assignment.

Audit customer history via AutoGen teams

This MCP Server lets your AutoGen team use `search_kustomer_timeline` to dig into historical events during collaborative support audits. This collaborative check ensures nothing gets missed. The AutoGen agents pull recent messages using `list_conversation_messages` and debate whether the customer's current issue is a repeat of a past, unresolved ticket.

Coordinate agent assignments with AutoGen

This MCP Server provides `list_kustomer_agents` so your AutoGen supervisor agent can track active support reps in real time. This prevents overloading specific team members. By checking `list_support_conversations`, the AutoGen team of agents determines which queues are backed up and suggests reassigning tickets to available reps.

Setup guide

Set up Kustomer 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes Kustomer tools and returns structured results.

agent.py

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="Kustomer_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Kustomer data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="Kustomer_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Kustomer data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kustomer. 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 Kustomer MCP in AutoGen

Use the MCP server tools utility from autogen-ext. Pass the Vinkius URL to retrieve tools like `get_conversation_details` and register them directly with your AssistantAgent.

Yes. Your AutoGen supervisor agent can run `check_kustomer_api_status` before initiating a multi-agent debate to ensure the platform is responsive.

The agents call `list_data_klasses` to fetch your custom data schema. They use this schema to structure their debates and ensure they query custom fields correctly.

Yes. AutoGen agents can invoke `search_kustomer_timeline` with custom JSON filters to retrieve historical event data and use it to resolve complex debates.

Your customer data, including timelines and queue configurations, is protected by the Vinkius MCP Server runtime environment. Tools like `list_kustomer_customers` run in a zero-trust sandbox, meaning sensitive customer lists never touch external servers or persistent logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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