How to Use the 1msg.io MCP in CrewAI

Q: How do I configure CrewAI to use 1msg.io?

Pass your Vinkius URL directly into the mcps array when defining your agent. The framework automatically parses the available endpoints.

Q: Can multiple CrewAI agents use 1msg.io MCP tools simultaneously?

You can configure MCPServerHTTP with a toolfilter to give the researcher agent access to chat history while restricting the responder agent to sending messages.

Deploy autonomous agent squads that monitor, research, and respond to WhatsApp messages via CrewAI and the 1msg.io MCP Server.

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Connect 1msg.io MCP to CrewAI

Create your Vinkius account to connect 1msg.io 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 1msg.io with CrewAI

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Assign dedicated WhatsApp monitoring agents

1msg.io gives your CrewAI setup direct read and write access to a business phone number. You assign one agent strictly to watch the inbox by calling `list_messages` on a loop. This watcher agent analyzes incoming texts and passes the context into shared memory. Other specialized agents then pick up the thread to process refunds, book appointments, or escalate complaints.

Execute actions via the 1msg.io MCP Server

A responder agent takes the analyzed intent and fires back a reply using `send_message` for plain text. If the user asked for a product manual, the agent triggers `send_file` to drop the PDF directly into their chat. Hierarchical execution ensures the right agent handles the right task. The manager agent reviews the proposed response before authorizing the final dispatch to the customer via the 1msg.io MCP Server.

Maintain channel health autonomously

Running a diagnostic agent to periodically ping `get_status` keeps your communication lines reliable. If the WhatsApp connection drops, this agent alerts your DevOps team via a different channel. Marketing crews operate in parallel, pulling approved formats via `list_templates` to plan campaigns. They then execute `send_template` at scheduled intervals without requiring manual intervention.

Setup guide

Set up 1msg.io 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 1msg.io tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="1msg.io Analyst",
    goal="Access and analyze 1msg.io data via MCP.",
    backstory="Expert analyst with direct 1msg.io access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent 1msg.io 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="1msg.io Analyst",
        goal="Access and analyze 1msg.io data via MCP.",
        backstory="Expert analyst with direct 1msg.io access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent 1msg.io 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 1msg.io. 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 1msg.io MCP in CrewAI

Pass your Vinkius URL directly into the `mcps` array when defining your agent. The framework automatically parses the available endpoints.

You can configure `MCPServerHTTP` with a `tool_filter` to give the researcher agent access to chat history while restricting the responder agent to sending messages.

You build a sequential crew. One agent reads the inbound text, another searches your internal knowledge base, and a third sends the final answer.

The integration supports this out of the box. The agent fetches the available options and maps the required variables before triggering the dispatch function.

Vinkius isolates the execution completely. Phone numbers and media files pass through a temporary V8 sandbox that destroys itself the moment the crew finishes its task.

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