Can I send WhatsApp messages using this server?

Yes. The `send_whatsapp_message` tool allows you to send outbound WhatsApp messages through the Vonage Messages API. You'll need a verified WhatsApp Business Number configured in your Vonage account as the sender.

How do I implement two-factor authentication (2FA)?

You can use the `start_verification` tool to send an OTP code to a user's phone. Once the user receives the code, use `check_verification_code` with the `request_id` to validate it. Your agent can handle the entire flow through a single conversation.

Can I check how much sending an SMS will cost me?

Absolutely. Use the `get_country_pricing` tool and provide the ISO country code (e.g., 'US' or 'GB'). Your agent will return the outbound SMS pricing for that region, helping you estimate costs before sending.

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

Name: Vonage
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Vonage through the Vinkius — pass the Edge URL in the `mcps` parameter and every Vonage 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="Vonage Specialist",
    goal="Help users interact with Vonage effectively",
    backstory=(
        "You are an expert at leveraging Vonage 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 Vonage "
        "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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* 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 Vonage MCP Server

Connect your Vonage account to any AI agent and power your global communications through natural conversation.

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

What you can do

Multi-Channel Messaging — Send outbound messages via SMS, WhatsApp Business, and Viber with ease
2FA & Verification — Start and check identity verification requests (OTP) to secure your user accounts
Number Management — List all virtual phone numbers rented by your account and update their inbound webhooks
Account Insights — Check your real-time account credit balance and monitor spending directly from your agent
Global Pricing — Retrieve outbound SMS pricing for any country to estimate communication costs accurately
Virtual Numbers — View caller ID capabilities (SMS, Voice) for all your rented virtual numbers

The Vonage 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 Vonage to CrewAI via MCP

Follow these steps to integrate the Vonage 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 Vonage

Why Use CrewAI with the Vonage MCP Server

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

Vonage + CrewAI Use Cases

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

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

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

Vonage MCP Tools for CrewAI (10)

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

cancel_verification_request

Aborts an active verification request

check_verification_code

Checks the OTP code submitted by a user for an active verification request

get_account_balance

Retrieves the current Vonage account credit balance

get_country_pricing

Provide the ISO 3166-1 alpha-2 country code. Retrieves outbound SMS pricing for a specific country

list_rented_numbers

Lists all virtual phone numbers rented by the account

send_sms

Provide a sender name (alpha or number) and a target phone number in E.164 format. Sends an outbound SMS message via Vonage

send_viber_message

Provide your specific Viber Publisher ID. Sends a Viber service message via Vonage

send_whatsapp_message

Requires a verified WhatsApp Business Number as the sender. Sends a WhatsApp message via the Vonage Messages API

start_verification

Provide the target number and your brand name. Starts a 2FA identity verification by sending an OTP code

update_number_webhook

Requires the number in E.164 format. Updates the inbound SMS callback URL for a virtual number

Example Prompts for Vonage in CrewAI

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

"Send an SMS to +123456789 saying 'Your order is ready for pickup!'."

"Start a verification for number +123456789 with brand 'MyCoolApp'."

"What is my current account balance and the SMS price for the UK?"

Troubleshooting Vonage MCP Server with CrewAI

Common issues when connecting Vonage 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

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Vonage + CrewAI FAQ

Common questions about integrating Vonage 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.