Can it accidentally affect my entire Sinch account?

No. The integration only supports sending SMS, managing batches, and handling contact groups. It cannot modify billing, account settings, or access other Sinch services.

How does authentication work?

You provide your Service Plan ID and API Token. The integration generates a Bearer token header automatically for each request — no OAuth setup required.

What is a batch in Sinch?

A batch is a single SMS send operation that can target one or many recipients. Each batch has a unique ID and can be tracked, updated, or cancelled before delivery.

Sinch MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Sinch
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 Sinch 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({
        "sinch": {
            "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 Sinch, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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IAMAccess control

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DLPData protection

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Sinch MCP Server

Connect your AI to Sinch, the global cloud communications platform for SMS messaging at scale.

LangChain's ecosystem of 500+ components combines seamlessly with Sinch 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

Send Messages — Dispatch individual or bulk SMS messages to any phone number or contact group.
Delivery Tracking — Check delivery reports to see which messages were delivered, pending, or failed.
Batch Management — List, update, or cancel SMS batches before they're delivered.
Contact Groups — Create and manage contact groups for targeted campaign messaging.

The Sinch 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 Sinch to LangChain via MCP

Follow these steps to integrate the Sinch 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 Sinch via MCP

Why Use LangChain with the Sinch MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Sinch 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 Sinch queries for multi-turn workflows

Sinch + LangChain Use Cases

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

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

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

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

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

Sinch MCP Tools for LangChain (10)

These 10 tools become available when you connect Sinch to LangChain via MCP:

cancel_sms_batch

This action is irreversible for the remaining messages. Cancels a pending SMS batch

create_sms_group

Creates a new contact group

delete_sms_group

This action is irreversible. Permanently deletes a contact group

get_batch_details

Retrieves details for a specific SMS batch

get_delivery_report

Retrieves a delivery report for a specific batch

get_group_details

Retrieves details for a specific contact group

list_sms_batches

Lists recent SMS batches

list_sms_groups

Lists all contact groups

send_sms

You can provide multiple phone numbers in the "to" field. Ensure numbers are in international format (e.g., +1234567890). Sends a text message (SMS) to one or more recipients

update_sms_batch

Updates parameters of an existing SMS batch

Example Prompts for Sinch in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Sinch immediately.

"Send an SMS to +1234567890 saying 'Your order has been shipped!'"

"Get the delivery report for batch 9876."

Troubleshooting Sinch MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Sinch + LangChain FAQ

Common questions about integrating Sinch 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.