How to Use the Konnektive MCP in AutoGen

Q: How do I register Konnektive tools with AutoGen?

Install autogen-extmcp and use mcpservertools with your Vinkius server URL. Pass the resulting tool list directly to your AssistantAgent constructor to give them access.

Q: Can AutoGen agents collaborate on Konnektive customer lookups?

Yes, one agent can run querykonnektivecustomers to find a user profile, and then share that profile ID with another agent who calls getcustomerdetails to inspect the billing history.

Q: Where do my Konnektive audit logs and transaction data go when using this MCP Server?

Your transaction data and audit logs retrieved via getkonnektiveauditlogs flow directly to your local AutoGen execution loop. Vinkius runs a zero-trust, ephemeral sandbox that never caches or inspects your CRM payloads.

Enable multi-agent debates in AutoGen to resolve complex Konnektive billing and order disputes.

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Connect Konnektive MCP to AutoGen

Create your Vinkius account to connect Konnektive 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 Konnektive with AutoGen

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Deploy AutoGen agents to debate Konnektive transactions

This MCP Server exposes `query_konnektive_transactions` and `get_customer_details` to your AutoGen conversation loop for collaborative billing analysis. Resolving billing discrepancies requires careful analysis, not quick guesses. They debate the findings to reach a consensus before taking action. This collaborative approach reduces errors in your CRM. For instance, before modifying an order, one agent can pull system records using `get_konnektive_audit_logs` while another checks `list_billing_campaigns`. They verify that the proposed change aligns with your active promotional rules.

Automate order verification and address corrections

Your AutoGen agents use this MCP Server to run `query_konnektive_orders` and `update_order_shipping_address` to coordinate address verification before fulfillment begins. Prevent shipping errors by letting specialized agents double-check each other. It proposes an address change to the supervisor agent. Once the supervisor agent approves, the execution agent calls `update_order_shipping_address` to update the record in the CRM. You can also have an agent check `list_fulfillment_houses` to ensure the new address is serviceable by the assigned warehouse.

Verify product allocations across warehouses

This integration uses `list_konnektive_products` and `get_order_details` to let your AutoGen agents audit stock allocations across your sales channels. Keep your sales and fulfillment teams perfectly aligned. They compare the data to detect stockouts or allocation errors. If a discrepancy is found, the agents can flag the issue and suggest alternative campaigns retrieved from `list_billing_campaigns`. This collaborative workflow ensures your CRM remains accurate without requiring constant human monitoring.

Setup guide

Set up Konnektive 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 Konnektive 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="Konnektive_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Konnektive 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 Konnektive. 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 Konnektive MCP in AutoGen

Install autogen-ext[mcp] and use mcp_server_tools with your Vinkius server URL. Pass the resulting tool list directly to your AssistantAgent constructor to give them access.

Yes, one agent can run query_konnektive_customers to find a user profile, and then share that profile ID with another agent who calls get_customer_details to inspect the billing history.

The agents negotiate execution priority during their conversation. They can stagger calls to tools like query_konnektive_orders to avoid hitting CRM rate limits during heavy batch processing.

Yes, the McpToolAdapter automatically translates the MCP tool definitions into the format that AutoGen's conversational agents expect. You do not need to write any custom JSON converters.

Your transaction data and audit logs retrieved via get_konnektive_audit_logs flow directly to your local AutoGen execution loop. Vinkius runs a zero-trust, ephemeral sandbox that never caches or inspects your CRM payloads.

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