How to Use the MobTech Platform MCP in LangChain

Automate SMS verification and track social engagement directly inside your LangChain agents.

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…and any MCP-compatible client

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Connect MobTech Platform MCP to LangChain

Create your Vinkius account to connect MobTech Platform to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup MobTech Platform with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain SMS verification logic

Connect `verify_sms_code` into your agent chains to handle user authentication without manual intervention. The agent receives the code from the user and triggers the verification process immediately. Use `check_phone_status` as a conditional gate before attempting to send messages. This prevents unnecessary API calls and keeps your agent logic clean.

Observe social share performance

Feed `get_share_analytics` results into your LangSmith traces to monitor campaign performance in real-time. You see exactly how social sharing translates into user growth within your pipeline. Aggregate these metrics alongside your other data sources to build complex, multi-step reasoning chains. Your agent decides the next step based on the actual share count returned.

Manage social auth bindings

Query `get_social_auth_status` to determine if a user needs to reconnect their account before running further tasks. It keeps your agent workflow from breaking due to expired tokens. This MCP Server provides the precise state data your agent requires to manage user sessions. Your chains stay robust because the agent knows exactly when to request fresh credentials.

Setup guide

Set up MobTech Platform MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes MobTech Platform tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "mobtech-platform-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent MobTech Platform transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MobTech. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MobTech Platform now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MobTech Platform MCP in LangChain

Install the necessary adapters and initialize the client pointing to your Vinkius endpoint. You then pass the tools directly into your agent constructor to enable immediate execution.

Yes. The tools return raw data that acts as input for subsequent nodes in your chain. You can set up logic that branches based on the status codes returned.

It does. Use the client session method to maintain state across multiple turns in your conversation. This keeps your agent aware of previous verification attempts.

Since you are using LangSmith, every tool call is logged automatically. You can inspect the input and output of every execution in your dashboard.

Your data stays private. We only handle the specific phone numbers and auth status tokens required to execute the requested tools.

Use it with your favorite AI tools

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