How to Use the VBOUT MCP in CrewAI

Q: How do I use VBOUT to find users with CrewAI?

Assign the 'Researcher' agent the searchcontacts tool. It will query VBOUT and return a list of matching contacts, which other agents can then analyze.

Q: Can I check available email lists using VBOUT and CrewAI?

Yes, you define a 'List Agent' that uses listemaillists. This agent reports the full list of targets to the crew for subsequent steps.

Q: Does MCP Server support adding contacts to VBOUT from CrewAI?

The crew can definitely handle this. By providing the addcontact tool, you let a specialized agent write and execute the code needed to add new records.

Run autonomous marketing operations with VBOUT using specialized agent crews in CrewAI.

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Connect VBOUT MCP to CrewAI

Create your Vinkius account to connect VBOUT 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 VBOUT with CrewAI

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Manage Contacts with Dedicated Agents

You can assign a 'Contact Manager' agent to handle all user data. This agent will use `get_contact` or `search_contacts` to gather necessary details before passing them along. If the goal is to update the roster, the 'Data Entry' specialist uses `add_contact`, ensuring that records are always kept current.

Autonomous Campaign Execution

A 'Marketing Analyst' agent can run `list_campaigns` to see all options. Another agent, the 'Action Agent', then selects and runs a specific campaign using `trigger_workflow`. The crew handles the entire sequence: research (listing) followed by action (triggering), without needing human intervention in between.

Process Orders and Create Content

One agent researches an e-commerce purchase, calling `add_ecommerce_order`. A second agent then uses the resulting data to draft a social post via `create_social_post`. This specialized handoff allows for complex operations—like generating content *because* of a sale—all within one autonomous run.

Setup guide

Set up VBOUT 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 VBOUT tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Assign the 'Researcher' agent the `search_contacts` tool. It will query VBOUT and return a list of matching contacts, which other agents can then analyze.

This MCP Server touches marketing automation data, specifically contact records, e-commerce transaction details, and workflow definitions. This provides the context for autonomous decision-making.

Yes, you define a 'List Agent' that uses `list_email_lists`. This agent reports the full list of targets to the crew for subsequent steps.

The crew can definitely handle this. By providing the `add_contact` tool, you let a specialized agent write and execute the code needed to add new records.

The MCP Server manages all marketing automation assets. This includes contact records, campaign metadata, and the history of e-commerce orders processed by the autonomous crew.

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