Dexatel MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dexatel through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Dexatel Assistant",
instructions=(
"You help users interact with Dexatel. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Dexatel"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Dexatel through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dexatel, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Dexatel MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Dexatel
Why Use OpenAI Agents SDK with the Dexatel MCP Server
OpenAI Agents SDK provides unique advantages when paired with Dexatel through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Dexatel + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Dexatel MCP Server delivers measurable value.
Automated workflows: build agents that query Dexatel, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Dexatel, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Dexatel tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Dexatel to resolve tickets, look up records, and update statuses without human intervention
Dexatel MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Dexatel to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Dexatel to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Dexatel + OpenAI Agents SDK FAQ
Common questions about integrating Dexatel MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Dexatel with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Dexatel to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.