How to Use the Adtelligent MCP in AutoGen

Let your AutoGen agents debate campaign strategies using live Adtelligent data.

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Connect Adtelligent MCP to AutoGen

Create your Vinkius account to connect Adtelligent 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 Adtelligent with AutoGen

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AutoGen multi-agent deliberation

Deploy agents that call `list_campaigns` to debate budget shifts. One agent proposes changes while another verifies the impact against your current performance metrics. This MCP Server allows your agents to negotiate based on real-time data. You define the logic, and the agents handle the back-and-forth discussion.

Adtelligent tool-driven consensus

Use the `get_ssp_report` tool to provide evidence for your agents' arguments. They can resolve conflicts by referencing the latest revenue stats. Your system converges on decisions faster when agents have access to live facts. It removes the guesswork from your ad orchestration.

Manage advertisers with agent teams

Assign an agent to monitor `list_advertisers` for updates. If a new advertiser appears, your team discusses the implications before taking action. This framework handles the schema conversion for you. Your agents interact with the tools natively as part of their standard conversation flow.

Setup guide

Set up Adtelligent 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 Adtelligent 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="Adtelligent_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Real-time monitoring

Live

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

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place for every integration

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Common questions about Adtelligent MCP in AutoGen

Pass our tool list into your AssistantAgent constructor. AutoGen will handle the schema translation, allowing agents to call functions during their debate.

They can discuss the output of any tool in the conversation history. This allows your agents to build consensus based on shared campaign data.

We support both stdio and HTTP transports. You can choose the connection method that fits your specific multi-agent deployment architecture.

The MCP server manages state for each session independently. Your agents can call tools in parallel without interfering with each other's data.

We use encrypted endpoint tokens to verify your identity. Your SSP report data is wiped from our ephemeral memory as soon as the agent conversation ends.

Use it with your favorite AI tools

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