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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Sinch
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Sinch as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Sinch. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Sinch?"
    )
    print(response)

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 Sinch MCP Server

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

LlamaIndex agents combine Sinch tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Sinch MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Sinch

Why Use LlamaIndex with the Sinch MCP Server

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

Data-first architecture: LlamaIndex agents combine Sinch tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Sinch tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Sinch, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Sinch tools were called, what data was returned, and how it influenced the final answer

Sinch + LlamaIndex Use Cases

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

Hybrid search: combine Sinch real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Sinch to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Sinch for fresh data

Analytical workflows: chain Sinch queries with LlamaIndex's data connectors to build multi-source analytical reports

Sinch MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Sinch to LlamaIndex 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 LlamaIndex

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Sinch + LlamaIndex FAQ

Common questions about integrating Sinch MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.