How to Use the DataDome MCP in CrewAI

Q: Can multiple CrewAI agents share DataDome data?

Yes. A monitoring agent can pull origin IPs using listrecentthreats, and pass that context to an analyst agent. They share memory to execute sequential tasks.

Q: How do I restrict which DataDome tools an agent can use?

Import MCPServerHTTP from crewai.mcp and apply a toolfilter. You can give one agent access to listaccesslogs while restricting another to just getendpointhealth.

Q: How do I search for specific scrapers in the threat logs?

Tell your agent to use searchthreatsbytype with the keyword scraper. It matches that string against recent incidents to isolate those specific attack vectors.

Deploy autonomous Python agents to monitor DataDome threat logs and audit bot rules using CrewAI.

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Connect DataDome MCP to CrewAI

Create your Vinkius account to connect DataDome to CrewAI 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 DataDome with CrewAI

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CrewAI agents analyze threat details

The `get_threat_details` tool grabs specific request headers and behavioral patterns for a given threat ID. You assign this to a specialized threat-analyst agent. This agent reads the detection logic and decides if the attack vector warrants escalation. A separate monitoring agent can run `list_recent_threats` in the background. When it spots credential stuffing or scraping, it passes the origin IPs to the analyst agent. The crew handles the entire triage process autonomously through the MCP Server.

Monitor bot traffic autonomously

Your traffic-auditor agent uses `get_bot_traffic_summary` to compare good search engine bots against malicious scrapers. It tracks the impact on total traffic over time. You don't have to pull these reports manually anymore. Another agent on the team pulls real-time counts of allowed and blocked requests via the MCP Server's `get_protection_stats` tool. It evaluates the CAPTCHA pass rates and logs the identified bot categories into your shared crew memory for later review.

Audit protected endpoints with an MCP Server

The `list_protected_endpoints` tool returns the protection status and URLs for your infrastructure. You can instruct an infrastructure agent to map these endpoints against your known application IDs. It finds unprotected routes before attackers do. To complete the audit, the agent runs `list_protected_applications`. It checks the Web, Mobile, and API protection flags for each app. The crew compiles a full coverage report based entirely on live DataDome configurations.

Setup guide

Set up DataDome MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke DataDome tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="DataDome Analyst",
    goal="Access and analyze DataDome data via MCP.",
    backstory="Expert analyst with direct DataDome access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent DataDome transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="DataDome Analyst",
        goal="Access and analyze DataDome data via MCP.",
        backstory="Expert analyst with direct DataDome access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent DataDome transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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Common questions about DataDome MCP in CrewAI

Pass the Vinkius endpoint URL directly into the mcps array when defining your agent. CrewAI handles the connection and exposes the DataDome tools to that specific agent.

Yes. A monitoring agent can pull origin IPs using list_recent_threats, and pass that context to an analyst agent. They share memory to execute sequential tasks.

Import MCPServerHTTP from crewai.mcp and apply a tool_filter. You can give one agent access to list_access_logs while restricting another to just get_endpoint_health.

Tell your agent to use search_threats_by_type with the keyword scraper. It matches that string against recent incidents to isolate those specific attack vectors.

This MCP Server operates strictly within an isolated V8 environment managed by Vinkius. Your application names, geo-location data, and bot scores remain completely secure because the server retains zero state after the task completes.

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