How to Use the DataDome MCP in AutoGen

Q: How do AutoGen agents share DataDome data?

The agents pass the output of tools like getthreatdetails back and forth. They use this shared context to debate the best security response.

Enable multi-agent security debates in AutoGen using the DataDome MCP Server to negotiate threat response and policy updates.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DataDome MCP to AutoGen

Create your Vinkius account to connect DataDome 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 DataDome with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate threats using AutoGen agents

Have one agent call `list_recent_threats` while another analyzes the findings. They negotiate whether to block an IP based on the threat type and origin. This creates a consensus-driven security process. The agents challenge each other's conclusions until they agree on the right course of action.

Manage rules with AutoGen

Use `list_custom_bot_rules` to let your agents review active blocking policies. They discuss if a rule is too aggressive or needs adjustment. The agents compare these rules against recent log data. They reach an agreement on which rules require updates to stop specific scrapers.

Coordinate endpoint protection in AutoGen

Agents query `list_protected_endpoints` to audit your security coverage. If one agent finds an unprotected endpoint, the team debates the priority of securing it. This ensures every application is accounted for. You gain a collective intelligence view of your security infrastructure across mobile and web assets.

Setup guide

Set up DataDome 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 DataDome 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="DataDome_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

The agents pass the output of tools like `get_threat_details` back and forth. They use this shared context to debate the best security response.

Yes. If agents disagree on a threat, they call the DataDome tools to pull more data. They use the updated facts to reach a final decision.

The server only reveals the data necessary for the agent to make a decision. Sensitive request details are not broadcasted beyond the active conversation participants.

The logs are treated as transient memory for the multi-agent system. They exist only within the scope of the current conversation and security audit.

It touches request metadata, including User-Agent strings, IP addresses, and detection logs. Access to this data is strictly controlled by your endpoint tokens.

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