How to Use the Dixa MCP in AutoGen

Q: How do AutoGen agents collaborate using Dixa tools?

You assign tools like quickagentpresenceaudit and listservicequeues to different agents in your group chat. They share the tool outputs to debate and coordinate support assignments.

Q: Can I use AutoGen to automate Dixa ticket assignments?

Yes, by combining listopensupporttickets with agent status checks, your agents can negotiate routing. They programmatically determine the best agent for each ticket based on live presence data.

Q: Can AutoGen agents search historical Dixa conversations?

Yes, agents use searchconversationsbysubject to locate past support threads during their deliberation. This helps them find historical resolutions to apply to current open tickets.

Deploy AutoGen agent teams to debate ticket assignments and audit Dixa queues via this custom MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Dixa MCP to AutoGen

Create your Vinkius account to connect Dixa 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.

GDPR Free for Subscribers

Setup Dixa with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-Agent Queue Balancing with AutoGen

The `list_service_queues` tool provides your AutoGen agents with live queue counts to trigger collaborative MCP routing debates. One agent can argue for immediate ticket dispatch while another checks Dixa availability to prevent team burnout. By referencing `list_open_support_tickets`, the AutoGen agents negotiate which cases deserve priority based on age and queue length. They reach a consensus on the best distribution plan before modifying any Dixa ticket states.

Audit Agent Availability Dynamically

The `quick_agent_presence_audit` tool exposes the current status of all support representatives to your AutoGen agent conversation. The AutoGen supervisor agent uses this audit to verify who is online before assigning high-priority Dixa tickets. If an agent's status is set to away, the AutoGen system cross-references `list_service_agents` to find an active backup. This prevents Dixa tickets from sitting in unassigned states when someone steps away from their desk.

Deep Conversation Investigations

The `get_conversation_details` tool retrieves the complete history of a specific Dixa ticket for your AutoGen agent team to review. A quality assurance agent can analyze the dialogue while a technical agent checks the metadata for system errors. They compile their findings by pulling Dixa account limits with `get_service_account_metadata` to verify if the customer is within their tier. This collaborative AutoGen review ensures your team handles complex VIP tickets with full context.

Setup guide

Set up Dixa 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 Dixa 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="Dixa_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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

    result = await agent.run("List recent Dixa 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 Dixa. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Dixa now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Dixa MCP in AutoGen

You assign tools like `quick_agent_presence_audit` and `list_service_queues` to different agents in your group chat. They share the tool outputs to debate and coordinate support assignments.

Yes, by combining `list_open_support_tickets` with agent status checks, your agents can negotiate routing. They programmatically determine the best agent for each ticket based on live presence data.

Use the AutoGen MCP extension to connect to your Vinkius HTTP endpoint. The adapter automatically translates the Dixa tool schemas so your AssistantAgents can call them.

Yes, agents use `search_conversations_by_subject` to locate past support threads during their deliberation. This helps them find historical resolutions to apply to current open tickets.

The Vinkius platform processes all tool executions inside an ephemeral V8 Isolate Sandbox. This platform runs this MCP Server with strict data isolation, ensuring your customer support conversations and agent metrics are never stored.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript