How to Use the Cyberimpact MCP in CrewAI

Q: How do I add the Cyberimpact MCP Server to my CrewAI setup?

Install crewaitools via pip. Add your Vinkius URL directly to the mcps list inside your Agent definition.

Q: How do I restrict which Cyberimpact tools a CrewAI agent can use?

Import MCPServerHTTP from the crewai.mcp module. Use the toolfilter parameter to explicitly allow or deny specific operations.

Deploy autonomous multi-agent teams to monitor and manage your Cyberimpact marketing operations using CrewAI.

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Connect Cyberimpact MCP to CrewAI

Create your Vinkius account to connect Cyberimpact 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 Cyberimpact with CrewAI

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Perplexity

Coordinate Autonomous Marketing Teams

Assign `get_campaign_details` to an analyst agent that constantly monitors bounce metrics. When rates spike, that agent passes the context to a moderator agent through shared memory. The team operates without you having to click a single button. Sequential execution guarantees order. A researcher pulls the full audience via `list_subscribers`, then hands the dataset off. The next agent in the sequence categorizes those profiles based on interaction history.

Filter Cyberimpact MCP Server Tools

Exposing the entire API surface isn't always safe, so you restrict agents using `tool_filter` on the `MCPServerHTTP` class. You give the reporting agent access to `get_account_details` while strictly blocking it from mutating the database. Setup happens directly in the agent definition. You pass the Vinkius endpoint into the `mcps` array, and the Python framework maps the HTTP transport. The crew immediately understands how to query the endpoints.

Segment Audiences Automatically

Calling `get_subscriber_details` lets a specialized profiling agent read custom fields and group memberships. It evaluates the data against your prompt instructions. If the profile matches a new segment, a different agent takes over to update the record. Reading the available segments requires `list_subscriber_groups`. The crew maps group IDs and member counts into its memory block. It references this map later when deciding where to place new signups.

Setup guide

Set up Cyberimpact 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 Cyberimpact tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Cyberimpact 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="Cyberimpact Analyst",
        goal="Access and analyze Cyberimpact data via MCP.",
        backstory="Expert analyst with direct Cyberimpact access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Cyberimpact 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 Cyberimpact. 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 Cyberimpact MCP in CrewAI

Install `crewai[tools]` via pip. Add your Vinkius URL directly to the `mcps` list inside your Agent definition.

Agents pass context through shared memory. An analyst can fetch a profile and hand the exact custom fields to an outreach agent.

Import `MCPServerHTTP` from the `crewai.mcp` module. Use the `tool_filter` parameter to explicitly allow or deny specific operations.

The framework respects the transport protocol, but Vinkius manages the actual API connection. You just provide the single endpoint token.

Group names and member counts exist only in an ephemeral V8 sandbox during execution. Vinkius processes the read request in a zero-trust container and destroys it the millisecond the data reaches your Python script.

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