TNZ Communications MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Api Health, Create Tnz Contact, Get Account Balance, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TNZ Communications 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 TNZ Communications 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
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 TNZ Communications. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in TNZ Communications?"
)
print(response)
asyncio.run(main())
* 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 TNZ Communications MCP Server
Empower your AI agent with access to the TNZ Group messaging gateway to automate your SMS, Voice, and Fax communications in New Zealand and globally.
LlamaIndex agents combine TNZ Communications 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
- Multichannel Messaging — Send SMS, automated voice calls (Text-to-Speech), and digital faxes programmatically.
- Delivery Oversight — Monitor the real-time status of sent messages and retrieve incoming SMS replies.
- Contact & Group Control — Manage your TNZ address book and organize contacts into groups for broadcast messaging.
- Operational Monitoring — Track your account credit balance and retrieve detailed messaging usage and cost reports.
The TNZ Communications 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 TNZ Communications tools available for LlamaIndex
When LlamaIndex connects to TNZ Communications through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-gateway, voice-broadcasting, text-to-speech, 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.
Verify TNZ API connectivity
Add a new contact to TNZ
Check account credit balance
Check delivery status of a message
Retrieve usage and cost reports
List your contact groups
List saved message templates
List inbound SMS replies
List saved contacts in TNZ
Send a document as a fax
Send an SMS message
Send a voice call (Text-to-Speech)
Connect TNZ Communications to LlamaIndex via MCP
Follow these steps to wire TNZ Communications into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the TNZ Communications MCP Server
LlamaIndex provides unique advantages when paired with TNZ Communications through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine TNZ Communications tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain TNZ Communications tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query TNZ Communications, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what TNZ Communications tools were called, what data was returned, and how it influenced the final answer
TNZ Communications + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the TNZ Communications MCP Server delivers measurable value.
Hybrid search: combine TNZ Communications real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query TNZ Communications 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 TNZ Communications for fresh data
Analytical workflows: chain TNZ Communications queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for TNZ Communications in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with TNZ Communications immediately.
"Send a SMS to +6421000000: 'The delivery is arriving at 2 PM today.'"
"What is the status of my message ID 'ref_123'?"
"Check my current TNZ account balance."
Troubleshooting TNZ Communications MCP Server with LlamaIndex
Common issues when connecting TNZ Communications to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTNZ Communications + LlamaIndex FAQ
Common questions about integrating TNZ Communications MCP Server with LlamaIndex.