How to Use the MessageBird MCP in CrewAI

Q: How does MessageBird verify contacts via CrewAI?

The agent runs the listhlr tool against your contact list. It then uses the output to decide which numbers are safe to message.

Deploy a specialized crew of agents to manage your global MessageBird communications and network auditing.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MessageBird MCP to CrewAI

Create your Vinkius account to connect MessageBird 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.

GDPR Free for Subscribers

Setup MessageBird with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized MessageBird operation crews

Assign one agent to `list_messages` for analysis while another handles `send_sms` for responses. The crew shares memory to coordinate these tasks. This separation of concerns ensures your research agent doesn't accidentally trigger a delivery. They work in tandem to maintain your communication flow.

Network lookup and validation

Task your agents with `list_hlr` to verify phone numbers before sending bulk campaigns. The agents filter out invalid contacts autonomously. Your campaign agent only receives the cleaned list. This saves your budget by preventing attempts to send to disconnected numbers.

Autonomous platform reporting

Use a monitor agent to periodically check `get_balance`. If it detects low credits, it alerts the moderator agent to pause operations. This cycle keeps your account within budget without you watching the dashboard. The agents handle the maintenance while you focus on the strategy.

Setup guide

Set up MessageBird 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 MessageBird tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent MessageBird 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 MessageBird. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MessageBird now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MessageBird MCP in CrewAI

You pass the server URL to the agent's MCP list. Once connected, the tools are available for the agent to use during its execution.

Yes, the agents use shared memory to pass results between them. One agent can fetch a contact with `get_contact` and pass it to another for processing.

You can filter which tools an agent sees. This keeps your campaign agents from accessing sensitive account settings like balance checks.

The agent runs the `list_hlr` tool against your contact list. It then uses the output to decide which numbers are safe to message.

The server ephemeral architecture ensures that contact data is purged after the task ends. Your agents only hold the data required for the active session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript