How to Use the Wati MCP in CrewAI

Q: How do I list all available tags using Wati via CrewAI?

Simply assign a task to an agent: use the listtags tool. This returns a comprehensive list of existing labels, which the crew can then use for segmentation or follow-up actions.

Autonomous WhatsApp communications for CrewAI teams.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Wati MCP to CrewAI

Create your Vinkius account to connect Wati 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.

GDPR Free for Subscribers

Setup Wati with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run Automated Communication Pipelines with MCP Server.

CrewAI specializes in autonomous operations. You can set up a process where Agent A gets the list of contacts using `list_contacts`, and then passes those IDs to Agent B. Agent B takes that data, calls `get_contact` for each one, and sends out messages via `send_template_message`. The whole sequence happens without human intervention.

Specialized Management of Wati Communication Tools.

The MCP Server offers tools that match role specialization. One agent can focus solely on list management, using `list_messages` and `list_tags`. Another agent handles user profiles with `add_contact` or `update_contact`. This division of labor means the team operates faster than a single-agent setup.

Handle Rich Media and Broadcasts via CrewAI.

For large announcements, you can assign an agent to handle bulk messaging. This involves first reviewing all available broadcasts (`list_broadcasts`) and then dispatching the content using `send_media_message`. This keeps media handling separate from simple text updates, making your communication reliable.

Setup guide

Set up Wati 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 Wati tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Wati 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 Wati. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Wati now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wati MCP in CrewAI

CrewAI treats the MCP Server as a toolset. Agents call specific functions like `send_session_message` or `send_template_message`, and the server executes the WhatsApp communication on behalf of your autonomous crew.

You assign a specific agent the task of network monitoring. This agent calls `check_wati_status` to verify connectivity before any other communication tasks begin, ensuring the whole crew can proceed.

Yes. The MCP Server gives you flexibility: basic chat updates (`send_session_message`), structured forms (`send_template_message`), and media attachments (`send_media_message`). Your crew can use the right tool for the job.

The server deals with contact and message data. It specifically touches `contact` attributes, including names and phone numbers. You'll need to handle that PII securely within your own application logic.

Simply assign a task to an agent: use the `list_tags` tool. This returns a comprehensive list of existing labels, which the crew can then use for segmentation or follow-up actions.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript