How do I get a Dexatel API Key?

Log in to your Dexatel account, navigate to **Settings > API**, and you can retrieve your unique API Key from that section.

Can the agent receive SMS messages?

Yes, you can use the list_sms_messages tool to view both sent and received messages in your account history.

Does the integration show real-time delivery status?

Yes, when retrieving message details, the agent provides the latest status (e.g., delivered, pending, failed) as reported by the Dexatel platform.

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

Name: Dexatel
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Integrate Dexatel, the comprehensive cloud communications platform, directly into your AI workflow. Send SMS messages globally, monitor your messaging logs and delivery statuses, and manage your contact database using natural language.

When paired with CrewAI, Dexatel becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Dexatel 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 Control — Send and receive SMS messages using your authorized Sender IDs and virtual numbers.
Delivery Oversight — Monitor messaging logs in real-time, including technical delivery timestamps and carrier info.
Contact Management — Access and manage your address book, including profiles and messaging history for specific contacts.
Balance Monitoring — Track your account credit balance and API usage directly via chat.

The Dexatel 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 Dexatel to CrewAI via MCP

Follow these steps to integrate the Dexatel 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 Dexatel

Why Use CrewAI with the Dexatel MCP Server

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

Dexatel + CrewAI Use Cases

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

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

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

Dexatel MCP Tools for CrewAI (10)

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

get_account_balance_metadata

Retrieve current balance and metadata for your Dexatel account

get_contact_profile

Get full profile and history for a specific contact

get_sms_message_details

Get detailed information for a specific SMS message

list_authorized_sender_ids

List all authorized Sender IDs and virtual numbers

list_failed_sms_deliveries

Identify SMS messages that failed to deliver (mock logic)

list_messaging_contacts

List all contacts stored in your Dexatel address book

list_sms_messages

List all sent and received SMS messages in your Dexatel account

list_sms_templates

List all approved message templates

search_sms_by_content

Search for SMS messages containing specific keywords or numbers

send_sms_message

Send a new SMS message to a specific number

Example Prompts for Dexatel in CrewAI

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

"Send an SMS to '+1234567890' saying 'Your order is ready!'."

"Show me the last 5 sent messages."

"What is my current account balance?"

Troubleshooting Dexatel MCP Server with CrewAI

Common issues when connecting Dexatel 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.

Dexatel + CrewAI FAQ

Common questions about integrating Dexatel 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.