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Tatango MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Add New Sms Subscriber, Check Api Health, Create Broadcast Campaign, and more

Built by Vinkius GDPR 12 Tools Framework

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

Ask AI about this App Connector for LlamaIndex

The Tatango app connector for LlamaIndex is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Tatango. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())
Tatango
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Tatango MCP Server

Connect your Tatango account to any AI agent and simplify how you manage your high-volume SMS marketing, subscriber lists, and campaign outreach through natural conversation.

LlamaIndex agents combine Tatango tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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

  • Subscriber Management — List and search subscribers, add new phone numbers to lists, and handle unsubscribes programmatically.
  • Broadcast Campaigns — Create and send mass SMS campaigns to specific marketing lists and monitor their performance.
  • Transactional SMS — Send one-to-one non-marketing messages like alerts, receipts, and notifications.
  • List Oversight — Manage your marketing directories by listing and inspecting metadata for each subscriber list.
  • Webhook Monitoring — List active webhooks to ensure your outbound events and integrations are running smoothly.
  • Account Visibility — Fetch your profile details and check API health directly from the agent.

The Tatango MCP Server exposes 12 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.

All 12 Tatango tools available for LlamaIndex

When LlamaIndex connects to Tatango through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, mms-campaigns, tcpa-compliance, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_new_sms_subscriber

Can trigger an opt-in confirmation. Add a subscriber to a list

check_api_health

Verify Tatango API connectivity

create_broadcast_campaign

Create and send a broadcast message

get_account_profile

Get authenticated account info

get_list_details

Get details for a specific list

get_subscriber_details

Get info for a specific phone number

list_configured_webhooks

List active webhooks

list_sms_campaigns

List all broadcast campaigns

list_sms_marketing_lists

List all marketing lists

list_sms_subscribers

List subscribers for a specific list

send_transactional_sms

g., receipt, alert) to a phone number. Max 160 chars. Send a one-to-one transactional message

unsubscribe_phone_number

Remove a subscriber from a list

Connect Tatango to LlamaIndex via MCP

Follow these steps to wire Tatango into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Tatango

Why Use LlamaIndex with the Tatango MCP Server

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

01

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

02

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

03

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

04

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

Tatango + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Tatango in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Tatango immediately.

01

"List all my SMS marketing lists."

02

"Send a broadcast to the 'Volunteer Alerts' list: 'Meeting relocated to Hall B. See you there!'."

03

"Add +15550199 to the 'Main Supporters' list."

Troubleshooting Tatango MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Tatango + LlamaIndex FAQ

Common questions about integrating Tatango MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Tatango tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.