How do I get an API Key and Secret for Gallabox?

Log in to Gallabox, navigate to Settings > API Keys, and click on 'Generate Key' to retrieve your credentials.

What is a 'Channel ID' and where do I find it?

The Channel ID is the unique identifier for your WhatsApp Business number. You can find it in Settings > Connect > WhatsApp Channel, or by using the 'list_whatsapp_channels' tool.

Can I send interactive buttons via this agent?

Currently, the 'send_whatsapp_template' tool supports pre-approved templates which can include interactive buttons configured in your WhatsApp dashboard.

Are templates required for all messages?

No. You can send standard text messages to customers who have messaged you in the last 24 hours using 'send_whatsapp_text'. Templates are required for business-initiated outreach outside this window.

Gallabox MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Gallabox
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Gallabox through Vinkius, pass the Edge URL in the `mcps` parameter and every Gallabox 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="Gallabox Specialist",
    goal="Help users interact with Gallabox effectively",
    backstory=(
        "You are an expert at leveraging Gallabox 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 Gallabox "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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* 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 Gallabox MCP Server

Connect your Gallabox account to any AI agent to automate your WhatsApp Business messaging and customer engagement through the Model Context Protocol (MCP). Gallabox is a leading WhatsApp automation platform that enables teams to handle shared inboxes, deploy bots, and send transactional notifications at scale. This MCP server enables you to send real-time messages, track chat histories, and manage your contact database directly through natural conversation.

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

Key Features

WhatsApp Messaging — Send standard text messages or pre-approved rich media templates to your customers instantly.
Chat Oversight — List all active WhatsApp conversations, check their current status, and monitor recent engagement.
Message Threading — Fetch the complete message history for any specific conversation ID to maintain context before replying.
Contact Management — Access your WhatsApp contact database, retrieve detailed profiles, and verify phone numbers.
Template Discovery — List all approved message templates available in your account to ensure compliant outreach.
Channel Management — Access configured WhatsApp Business channels and identify unique Channel IDs for routing.
Workforce Collaboration — List support teams and verify your own profile metadata to optimize chat assignments.
Real-time Synchronization — Keep your WhatsApp communication accessible to your AI assistant without leaving your primary workspace.

The Gallabox MCP Server exposes 12 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 Gallabox to CrewAI via MCP

Follow these steps to integrate the Gallabox 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 12 tools from Gallabox

Why Use CrewAI with the Gallabox MCP Server

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

Gallabox + CrewAI Use Cases

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

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

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

Gallabox MCP Tools for CrewAI (12)

These 12 tools become available when you connect Gallabox to CrewAI via MCP:

get_chat_details

Get thread metadata

get_contact_details

Get contact metadata

get_my_profile

Get account profile

list_active_chats

List chat threads

list_message_templates

List WhatsApp templates

list_support_teams

List Gallabox teams

list_thread_messages

List message history

list_whatsapp_channels

List active channels

list_whatsapp_contacts

List chat contacts

send_whatsapp_template

Send template message

send_whatsapp_text

Send WhatsApp message

verify_api_connection

Check connection

Example Prompts for Gallabox in CrewAI

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

"Send a WhatsApp message to '+1234567890' saying 'Hello from AI!'."

"List all my approved WhatsApp templates."

"Show the message history for conversation 'conv_987'."

Troubleshooting Gallabox MCP Server with CrewAI

Common issues when connecting Gallabox 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.

Gallabox + CrewAI FAQ

Common questions about integrating Gallabox 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.