How to Use the WA Smart Business MCP in CrewAI

Q: How do I search for contacts with WA Smart Business and CrewAI?

The 'Research' agent can use searchcustomers to find leads. This initial step populates the shared memory, which the subsequent 'Action' agent uses.

Q: How do I verify connectivity with WA Smart Business and CrewAI?

You assign the task of calling checkwasmartstatus to an agent. This provides a clear, actionable result that determines if the rest of the crew can proceed.

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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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Autonomous Customer Identification

Run a specialized agent to find contacts using `search_customers`. A second, dedicated agent can then use the resulting IDs to fetch full details via `get_customer`. This multi-step process mimics human research: one agent finds leads, and another verifies their status. The shared memory keeps all findings in context.

Orchestrating Communication Flows

You can set up a communication pipeline where an 'Initiator' agent first calls `list_campaigns`. A subsequent 'Sender' agent then uses the campaign data to trigger messages using `send_template`. This sequential execution ensures that all necessary steps—from planning the campaign to sending the final message—run without human intervention.

Maintaining Agent Directory

The crew can maintain an up-to-date directory by running `list_agents` and cross-referencing it with results from `get_agent`. This keeps the agents' knowledge base current. Using role-based specialization, one agent monitors agent details while another uses that data to execute tasks.

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)

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="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

The 'Research' agent can use `search_customers` to find leads. This initial step populates the shared memory, which the subsequent 'Action' agent uses.

Yes. You define a workflow where one agent gathers necessary data (e.g., customer IDs) and passes it to another agent that executes the `send_message` tool.

Always start autonomous operations by having a 'Moderator' agent run `check_wasmart_status`. This confirms system health before any other action, preventing wasted cycles.

The server touches various types of operational data. Crucially, you are manipulating `customer` details whenever agents fetch or create records.

You assign the task of calling `check_wasmart_status` to an agent. This provides a clear, actionable result that determines if the rest of the crew can proceed.

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