How do I find my MessageBird API Key?

Log in to your [**MessageBird Dashboard**](https://dashboard.messagebird.com/), navigate to **Developers** > **API Access**, and you will find your Access Key there. Copy and paste it into the field below.

Can the agent check my current credit balance?

Yes. Use the `get_balance` tool. Your agent will retrieve your current account balance and payment type (prepaid/postpaid) instantly.

Is it possible to send SMS to multiple recipients at once?

Yes. The `send_sms` tool accepts a comma-separated list of recipient numbers. Your agent will deliver the message to all recipients and provide the overall delivery status.

MessageBird MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: MessageBird
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to MessageBird through Vinkius, pass the Edge URL in the `mcps` parameter and every MessageBird 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

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="MessageBird Specialist",
    goal="Help users interact with MessageBird effectively",
    backstory=(
        "You are an expert at leveraging MessageBird 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 MessageBird "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 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 MessageBird MCP Server

Empower your AI agent to orchestrate your entire global communication strategy with MessageBird, the leading omnichannel platform. By connecting MessageBird to your agent, you transform complex messaging workflows into a natural conversation. Your agent can instantly send SMS to multiple recipients, audit your contact database, and check your real-time account balance without you ever touching a dashboard. Whether you are providing verification codes or managing marketing broadcasts, your agent acts as a real-time communication coordinator, ensuring your messages are delivered and your audience data is organized.

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

Messaging Intelligence — Send SMS messages to global recipients and retrieve detailed delivery status and history.
Contact Auditing — List and retrieve detailed metadata for your global contact database and groups.
Financial Oversight — Check your real-time account balance to maintain strict organizational control over your costs.
Channel Management — List configured communication channels to ensure your omnichannel strategy is active.
Network Intelligence — List HLR (Home Location Register) requests to verify number validity and network status.

The MessageBird MCP Server exposes 10 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 MessageBird to CrewAI via MCP

Follow these steps to integrate the MessageBird 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 10 tools from MessageBird

Why Use CrewAI with the MessageBird MCP Server

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

MessageBird + CrewAI Use Cases

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

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

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

MessageBird MCP Tools for CrewAI (10)

These 10 tools become available when you connect MessageBird to CrewAI via MCP:

get_balance

Get current MessageBird account balance

get_contact

Get details for a specific contact

get_group

Get details for a specific group

get_message

Get details for a specific message

list_channels

List configured channels

list_contacts

List MessageBird contacts

list_groups

List contact groups

list_hlr

List HLR (Network Lookup) requests

list_messages

List recent SMS messages

send_sms

Send an SMS message

Example Prompts for MessageBird in CrewAI

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

"Check my MessageBird account balance."

"List the last 5 SMS messages sent from my account."

"Send SMS 'Your discount code is VINKIUS20' to +15550123."

Troubleshooting MessageBird MCP Server with CrewAI

Common issues when connecting MessageBird 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.

MessageBird + CrewAI FAQ

Common questions about integrating MessageBird 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.