Why do I need to use templates to send a message?

WhatsApp requires the use of pre-approved templates for any message initiated by the business or sent after 24 hours of the last customer interaction. This prevents spam and ensures high-quality communications.

Can I send PDF documents or images via the agent?

Yes! Use the `send_file` tool and provide the recipient's number and the public URL of the document or image. Your agent will handle the formatting and delivery automatically.

How can I check if my WhatsApp channel is currently online?

Use the `get_status` tool. It returns the current state of your 1msg.io instance (e.g., connected, connecting, or disconnected). This is crucial for monitoring your automation health.

1msg.io MCP Server for CrewAI 6 tools — connect in under 2 minutes

Name: 1msg.io
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to 1msg.io through Vinkius, pass the Edge URL in the `mcps` parameter and every 1msg.io tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="1msg.io Specialist",
    goal="Help users interact with 1msg.io effectively",
    backstory=(
        "You are an expert at leveraging 1msg.io tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in 1msg.io "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About 1msg.io MCP Server

Transform your 1msg.io instance into a conversational powerhouse for your AI agent. This integration bridges the gap between the official WhatsApp Business API and your AI workflows, allowing you to handle customer engagement, notifications, and channel health directly through natural language. Whether you are automating support or orchestrating marketing broadcasts, your agent acts as a direct bridge to your WhatsApp audience, ensuring every interaction follows official Meta standards.

When paired with CrewAI, 1msg.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call 1msg.io tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Official Messaging — Send text and media messages (images, PDF, video) to any WhatsApp number worldwide using official API standards
Template Management — List and send pre-approved WhatsApp templates, essential for initiating conversations with customers
Channel Health — Check your connection status (connected, connecting, disconnected) to ensure your automation is always live
Message History — Retrieve and audit your recent incoming and outgoing message logs to maintain conversation context
Interactive Flows — Handle complex WhatsApp interactions and broadcasts directly from your chat interface

The 1msg.io MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect 1msg.io to CrewAI via MCP

Follow these steps to integrate the 1msg.io MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from 1msg.io

Why Use CrewAI with the 1msg.io MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with 1msg.io through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

1msg.io + CrewAI Use Cases

Practical scenarios where CrewAI combined with the 1msg.io MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries 1msg.io for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries 1msg.io, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain 1msg.io tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries 1msg.io against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

1msg.io MCP Tools for CrewAI (6)

These 6 tools become available when you connect 1msg.io to CrewAI via MCP:

get_status

g. connected, disconnected). Use this to debug communication failures. Check the current connection status of the 1msg.io WhatsApp channel

list_messages

Use this to check previous communications or audit chat history. Retrieve recent incoming and outgoing WhatsApp message history

list_templates

List all available and pre-approved WhatsApp templates

send_file

Optionally supports a caption or filename. Send a media file (image, PDF, video) to a WhatsApp number

send_message

Requires a recipient phone number and the message body. Do not use for media or templates. Send a simple WhatsApp text message

send_template

Requires the template name. Send a pre-approved WhatsApp template message

Example Prompts for 1msg.io in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with 1msg.io immediately.

"Send a WhatsApp message to +123456789 saying: Your order has been shipped!"

"Send the PDF invoice at https://example.com/inv123.pdf to +123456789 on WhatsApp."

"Is my WhatsApp channel connected and working?"

Troubleshooting 1msg.io MCP Server with CrewAI

Common issues when connecting 1msg.io to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

1msg.io + CrewAI FAQ

Common questions about integrating 1msg.io MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.