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 LangChain 10 tools — connect in under 2 minutes

Name: Dexatel
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Dexatel through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "dexatel": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Dexatel, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Dexatel through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Dexatel MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Dexatel via MCP

Why Use LangChain with the Dexatel MCP Server

LangChain provides unique advantages when paired with Dexatel through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Dexatel MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Dexatel queries for multi-turn workflows

Dexatel + LangChain Use Cases

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

RAG with live data: combine Dexatel tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Dexatel, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Dexatel tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Dexatel tool call, measure latency, and optimize your agent's performance

Dexatel MCP Tools for LangChain (10)

These 10 tools become available when you connect Dexatel to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Dexatel to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Dexatel + LangChain FAQ

Common questions about integrating Dexatel MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.