How to Use the Adrecord MCP in AutoGen

Get agents debating your affiliate strategy with Adrecord and AutoGen.

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Connect Adrecord MCP to AutoGen

Create your Vinkius account to connect Adrecord 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 Adrecord with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Debate Adrecord data in AutoGen

Assign one agent to fetch `list_transactions` while another analyzes the margin trends. They exchange findings until they agree on the best performing channels. This framework forces your agents to challenge each other's assumptions. You get a consensus-driven report that considers multiple angles of your affiliate revenue.

Agentic program auditing

Set up a security agent to check `get_program_details` for policy compliance. A separate performance agent monitors the same data for revenue growth opportunities. If the agents disagree, they negotiate until they reach a conclusion that satisfies both constraints. You define the goals, and the agents handle the deliberation.

Automated channel management

Use `list_channels` as a shared resource for your multi-agent team. Your agents review media sources and decide which ones to keep active based on their group discussion. Each agent brings a different perspective to the table. By the time they finish their conversation, you have a verified list of channels that actually drive results.

Setup guide

Set up Adrecord 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 Adrecord 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="Adrecord_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Pass the tool list generated by the MCP adapter to your AssistantAgent constructor. This enables multiple agents to access the same API functions during their conversation.

Yes. Since agents can debate, you can task them with evaluating transactions and resolving discrepancies. They will compare findings until they converge on a final decision.

The server supports both stdio and Streamable HTTP transports. This ensures a reliable connection for your agents even during long, complex debate sessions.

Just install the required extension and point your params to the server URL. The adapter handles the schema conversion so your agents can start calling the tools immediately.

The data is handled via an ephemeral connection restricted to your agent group. Your sensitive advertiser program information is never stored, and the system uses isolated sandboxing to prevent unauthorized access.

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