How to Use the WSLA (WhatsApp) MCP in CrewAI

Q: How does CrewAI handle template management for WSLA (WhatsApp)?

One specialized 'Research Agent' runs listwhatsapptemplates. It passes that list to a 'Drafting Agent,' which then uses the information to correctly format and send via sendwhatsapptemplate.

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Connect WSLA (WhatsApp) MCP to CrewAI

Create your Vinkius account to connect WSLA (WhatsApp) 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 WSLA (WhatsApp) with CrewAI

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Autonomous Messaging Dispatch

One agent can be assigned the task of sending a text message. It calls `send_whatsapp_text`, and that action is logged as part of the overall operation. A second, monitoring agent watches this process. If the initial send fails or needs confirmation, the monitor agent flags it for human review before proceeding.

Template Vetting and Sending

You assign a 'Compliance Agent' to run `list_whatsapp_templates`. This specialized role researches what templates are valid. A different 'Action Agent' then uses `send_whatsapp_template`. The collaboration ensures that the content is checked against known standards before any message gets sent via the MCP Server.

Observing Media and Reacting

The system can assign an 'Observer Agent' to use `get_whatsapp_media_details` on incoming messages. This agent gathers the necessary data. Based on that observation, a third 'Response Agent' takes action by calling `send_whatsapp_reaction`, ensuring the entire operation is context-aware.

Setup guide

Set up WSLA (WhatsApp) 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 WSLA (WhatsApp) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent WSLA (WhatsApp) 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 WSLA (WhatsApp). 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 WSLA (WhatsApp) MCP in CrewAI

Yes. You structure a team where one agent handles the message content, and another executes the `send_whatsapp_text` tool call. This separation of roles makes the operation highly autonomous.

One specialized 'Research Agent' runs `list_whatsapp_templates`. It passes that list to a 'Drafting Agent,' which then uses the information to correctly format and send via `send_whatsapp_template`.

Absolutely. You can assign an agent specifically to monitor incoming messages, gather details using `get_whatsapp_media_details`, and then command a reaction via `send_whatsapp_reaction`.

Yes. The architecture allows you to define multiple specialized agents, each with its own tool access and role, coordinating complex tasks through shared memory.

The server handles media details and message content. Because the CrewAI framework is designed for autonomous operation, you must ensure all agents respect the sensitivity of this communication data.

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