Can I manage WhatsApp groups with this server?

Yes! 2Chat provides dedicated tools to create groups, list groups your number belongs to, and send messages to group UUIDs.

Do I need official WhatsApp Business API approval?

No. 2Chat works by linking your existing WhatsApp number (Personal or Business) via a QR code, so you don't need official Meta approval or template restrictions.

How can I check if a number is on WhatsApp?

You can use the `check_number` tool to verify if a specific phone number is registered on WhatsApp before attempting to send a message.

2Chat MCP Server for CrewAI 5 tools — connect in under 2 minutes

Name: 2Chat
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 5 Tools Framework

Connect your CrewAI agents to 2Chat through Vinkius, pass the Edge URL in the `mcps` parameter and every 2Chat 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="2Chat Specialist",
    goal="Help users interact with 2Chat effectively",
    backstory=(
        "You are an expert at leveraging 2Chat 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 2Chat "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 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 2Chat MCP Server

Unlock the full potential of WhatsApp automation with 2Chat, the programmable gateway now integrated with your AI agent. By connecting 2Chat via the Model Context Protocol, you transcend the limitations of traditional messaging apps. Your agent can now orchestrate complex group workflows, verify phone numbers before sending, and manage multi-device communications through simple natural language. Whether you're coordinating team alerts or engaging with a community, 2Chat gives your AI the 'voice' it needs on the world's most popular messaging platform.

When paired with CrewAI, 2Chat becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call 2Chat 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

Programmable Messaging — Send text, images, PDF, and voice messages to any WhatsApp number without template restrictions.
Group Management — Create groups, add participants, and send group-wide announcements directly from your chat interface.
Number Verification — Check if a phone number is registered on WhatsApp before sending to improve delivery success.
Webhooks & Real-time — Monitor incoming messages and delivery status (sent, delivered, read) seamlessly.
Multi-Device Support — Link multiple WhatsApp numbers to a single API workspace for unified communications.

The 2Chat MCP Server exposes 5 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 2Chat to CrewAI via MCP

Follow these steps to integrate the 2Chat 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 5 tools from 2Chat

Why Use CrewAI with the 2Chat MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with 2Chat 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

2Chat + CrewAI Use Cases

Practical scenarios where CrewAI combined with the 2Chat MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries 2Chat 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 2Chat, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain 2Chat 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 2Chat against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

2Chat MCP Tools for CrewAI (5)

These 5 tools become available when you connect 2Chat to CrewAI via MCP:

check_number

Helps prevent failed delivery errors. Verify if a phone number is registered on WhatsApp

create_group

Create a new WhatsApp group with specified participants

list_groups

List all WhatsApp groups that a connected number belongs to

list_numbers

Use this to identify which "from_number" to use in subsequent sending actions. List all WhatsApp phone numbers connected to your 2Chat account

send_message

Can send text or public URL media to direct numbers or a specific group UUID. Send a WhatsApp text or media message using a connected number

Example Prompts for 2Chat in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with 2Chat immediately.

"Check if +123456789 is registered on WhatsApp and send a message saying hello."

"List all my WhatsApp groups."

"Create a new WhatsApp group called 'Project Gamma' and add participant +198765432."

Troubleshooting 2Chat MCP Server with CrewAI

Common issues when connecting 2Chat 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.

2Chat + CrewAI FAQ

Common questions about integrating 2Chat 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.