How to Use the Daktela MCP in AutoGen

Q: How do AutoGen agents share Daktela tool outputs during a debate?

When one agent calls getticket or listemailhistory, the resulting JSON payload is posted directly to the group chat. Other agents in the AutoGen conversation read this data to challenge or support the current proposal.

Q: How do AutoGen agents handle conflicting data from Daktela?

If listcontacts and listcallhistory show conflicting details, your AutoGen agents will debate the discrepancy in their chat thread. They can run getticket to find the source of truth before taking action.

Deploy AutoGen agents that debate ticket priority and coordinate Daktela CRM updates automatically.

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Create your Vinkius account to connect Daktela 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 Daktela with AutoGen

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Let AutoGen agents negotiate Daktela ticket priorities

Build a multi-agent team where a triage agent runs `list_tickets` and a security agent reviews the customer's account status using `list_accounts`. Once they agree, a coordinator agent invokes `create_ticket` to assign the task. This consensus-driven approach ensures that high-priority issues are never missed or miscategorized.

Coordinate Daktela CRM updates via AutoGen debates

When a new lead arrives, your AutoGen agents discuss how to categorize them by pulling historical data with `list_contacts` and checking recent touchpoints with `list_activities`. If they agree the lead is qualified, they execute `create_contact` to update your database. By forcing agents to verify each other's findings, you prevent duplicate or messy CRM entries.

Manage Daktela queues with an MCP Server

Let your AutoGen agents monitor call volumes by checking queue status via `list_queues` and `list_call_history`. The agents debate whether to reroute incoming traffic. Once they reach a decision, they output a structured routing plan, ensuring your contact center operates at peak efficiency without manual oversight.

Setup guide

Set up Daktela 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 Daktela 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="Daktela_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Daktela 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="Daktela_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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

When one agent calls `get_ticket` or `list_email_history`, the resulting JSON payload is posted directly to the group chat. Other agents in the AutoGen conversation read this data to challenge or support the current proposal.

Yes. You register the Daktela tools using the McpToolAdapter and pass them directly to your AutoGen AssistantAgent constructor. This gives your agents full access to tools like `create_contact` during their discussions.

If `list_contacts` and `list_call_history` show conflicting details, your AutoGen agents will debate the discrepancy in their chat thread. They can run `get_ticket` to find the source of truth before taking action.

No. Vinkius handles all authentication and hosting. Your AutoGen setup only needs a single endpoint token to securely access all twelve contact center tools via the MCP Server.

All traffic containing your tickets and customer logs is encrypted in transit and runs inside the MCP Server's isolated V8 sandboxes. Vinkius operates on a zero-trust model, meaning your CRM data is never written to disk or used for training.

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