How to Use the TNZ Communications MCP in OpenAI Agents SDK
Deploy production-grade communication loops using OpenAI Agents SDK and this MCP Server to send texts, calls, and faxes.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TNZ Communications MCP to OpenAI Agents SDK
Create your Vinkius account to connect TNZ Communications to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
SMS and voice dispatch via OpenAI Agents SDK
Your agent initiates text-based outreach using `send_sms_message` to send notifications to customers. It handles inbound responses by querying `list_received_sms_replies` to route customer replies back into your database. For spoken notifications, the agent triggers `send_tts_voice_call` using pre-saved formats retrieved via `list_message_templates` to ensure brand consistency. The SDK's built-in guardrails validate these voice scripts before dialing, preventing compliance errors.
Send faxes and track delivery via MCP Server
The `send_digital_fax` tool transmits documents directly from your agent to legacy hardware over this secure MCP link. The agent then calls `get_message_delivery_status` to confirm receipt or catch transmission failures. To keep costs under control, your agent monitors `get_messaging_usage_report` to track outbound volume. It also checks `get_account_balance` to warn your team when prepaid credits run low.
Contact directory syncing and system checks
Your agent keeps your CRM updated by executing `create_tnz_contact` whenever a new user registers. It retrieves existing customer records using `list_tnz_contacts` to prevent duplicate entries. The agent filters recipients using `list_contact_groups` to send targeted broadcasts. Before initiating any batch, it calls `check_api_health` to verify that the TNZ endpoint is active and ready.
Set up TNZ Communications MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all TNZ Communications tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives TNZ Communications tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate TNZ Communications tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="TNZ Communications Agent",
instructions="You have access to TNZ Communications tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TNZ Communications. 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.
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Common questions about TNZ Communications MCP in OpenAI Agents SDK
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