How to Use the Vonage MCP in CrewAI
Run specialized communication teams using the Vonage MCP Server with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vonage MCP to CrewAI
Create your Vinkius account to connect Vonage 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.
Team 1: Communication Dispatch.
You can assign an 'Execution Agent' to handle outbound messages. This agent uses `send_sms` for SMS alerts, and it delegates WhatsApp tasks via `send_whatsapp_message`. The shared memory keeps track of the target phone number across multiple attempts. If a message fails, the crew structure allows the 'Moderator Agent' to automatically route the communication through Viber using `send_viber_message` as a backup.
Team 2: Account Monitoring & Reporting.
Assigning a 'Monitoring Agent' is simple. It runs the `get_account_balance` tool to report on current Vonage account credit balance. Another agent can use `list_rented_numbers` to generate an inventory of all active virtual phone numbers. This specialized pairing allows you to build automated reporting that always has up-to-date operational metrics.
Team 3: Identity & Lifecycle Management.
A 'Security Agent' handles user identity validation. It first calls `start_verification` to kick off the OTP process, then uses `check_verification_code` to confirm success. This sequence is crucial for onboarding new users. If a number needs maintenance, another agent can use `update_number_webhook` to ensure the callback URL remains current.
Set up Vonage MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Vonage tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Vonage Analyst",
goal="Access and analyze Vonage data via MCP.",
backstory="Expert analyst with direct Vonage access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Vonage transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="Vonage Analyst",
goal="Access and analyze Vonage data via MCP.",
backstory="Expert analyst with direct Vonage access.",
tools=mcp_tools,
)
task = Task(
description="List recent Vonage transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vonage. 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.
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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Common questions about Vonage MCP in CrewAI
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