How to Use the 2Chat MCP in CrewAI

Deploy autonomous WhatsApp moderation crews with the 2Chat MCP Server for CrewAI.

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Connect 2Chat MCP to CrewAI

Create your Vinkius account to connect 2Chat 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 2Chat with CrewAI

Ask AI about this MCP

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Claude

Perplexity

Assign WhatsApp MCP tools to specialized agents

You do not want a single script handling customer support. CrewAI lets you build a team where a Researcher agent pulls account details while a Communicator agent handles the actual chat. The Communicator agent uses `list_numbers` to find the correct support line, then fires `send_message` to reply to the user. Shared memory ensures the agent remembers the context of the conversation across multiple turns.

Autonomous group management via CrewAI

Running large communities requires constant vigilance. A Moderator agent can monitor external triggers and use `create_group` to spin up temporary channels for specific user cohorts. When an active thread gets too noisy, the agent runs `list_groups` to pull the UUID. It then posts a warning message to the entire room without any human intervention.

Clean your contact lists automatically

Bad data creates chaos for autonomous operations. You can assign a Data Janitor agent to scrub your CRM records in the background using the `check_number` tool. The agent iterates through thousands of rows, pinging the MCP Server to verify WhatsApp registration. Invalid entries get flagged in your database so your outbound marketing crew never attempts to message them.

Setup guide

Set up 2Chat 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 2Chat tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="2Chat Analyst",
    goal="Access and analyze 2Chat data via MCP.",
    backstory="Expert analyst with direct 2Chat access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent 2Chat 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="2Chat Analyst",
        goal="Access and analyze 2Chat data via MCP.",
        backstory="Expert analyst with direct 2Chat access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent 2Chat 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 2Chat. 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

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Common questions about 2Chat MCP in CrewAI

Pass your Vinkius endpoint URL directly into the mcps array on your Agent definition. The crew will automatically discover the WhatsApp operations.

Use MCPServerHTTP from the crewai.mcp module. You can apply a tool_filter so only your designated sender agent can execute text blasts.

Your agent reads the error response from the tool execution. Because it operates autonomously, it can decide to retry the payload or notify an admin.

Yes. A manager agent can delegate the verification task to a worker, wait for the result, and then order another worker to execute the final message send.

We operate entirely in memory. When your agents pull participant rosters or send group texts, that payload passes through an ephemeral V8 sandbox. Vinkius drops the memory state immediately after the request finishes.

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