How to Use the WA Smart Business MCP in CrewAI

Q: How does CrewAI handle WhatsApp message sending with WA Smart Business?

You assign a specialized Agent to use sendmessage. This agent executes the action based on the plan, ensuring the messaging is part of an autonomous operational sequence.

Q: Can I use CrewAI to list and manage contacts for WA Smart Business?

Yes. One specialized agent uses listcontacts to pull data, while another manages new records using createcontact. This collaboration ensures the contact database is always accurate.

Q: Does CrewAI support listing groups for WA Smart Business messaging?

It does. One agent uses listgroups to gather the data, which then serves as input for another specialized agent that performs the send action.

Deploy autonomous WhatsApp communication strategies using CrewAI.

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Connect WA Smart Business MCP to CrewAI

Create your Vinkius account to connect WA Smart Business 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 WA Smart Business with CrewAI

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Perplexity

Full-Cycle Message Deployment with CrewAI

CrewAI runs specialized agents that collaborate to send messages. The process starts by listing available templates (`list_templates`), which informs the Content Agent, who then executes `send_message`. This role-based specialization means you don't just send a message; you build an entire automated communication sequence.

Researching and Targeting WA Smart Business Contacts with CrewAI

Need to find the right person? The Research Agent can use `list_contacts` or `get_contact` to verify details. This specialization means one agent researches, another analyzes, and a third acts. This allows you to build sophisticated operations that confirm contact data before any messaging takes place.

Autonomous Group Management using CrewAI

The team can list all available groups using `list_groups`. A Moderator Agent monitors these lists, and an Action Agent then uses the group ID to send messages. This is autonomous operation at its best. CrewAI handles the handoff: Research -> Plan -> Act.

Setup guide

Set up WA Smart Business 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 WA Smart Business tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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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="WA Smart Business Analyst",
        goal="Access and analyze WA Smart Business data via MCP.",
        backstory="Expert analyst with direct WA Smart Business access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent WA Smart Business 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 WA Smart Business. 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 WA Smart Business MCP in CrewAI

You assign a specialized Agent to use `send_message`. This agent executes the action based on the plan, ensuring the messaging is part of an autonomous operational sequence.

Yes. One specialized agent uses `list_contacts` to pull data, while another manages new records using `create_contact`. This collaboration ensures the contact database is always accurate.

The server touches contacts, groups, and message templates. CrewAI's strength is coordinating agents to read and write across these different communication assets.

It does. One agent uses `list_groups` to gather the data, which then serves as input for another specialized agent that performs the send action.

CrewAI is built for reliability. By using multiple agents (e.g., a Planner and an Action Agent), you ensure complex operations are executed methodically and autonomously.

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