How to Use the Avochato MCP in OpenAI Agents SDK
Build production-ready SMS agents with Avochato and the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Avochato MCP to OpenAI Agents SDK
Create your Vinkius account to connect Avochato to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Send and track SMS directly
The Avochato MCP Server connects your OpenAI agent to two-way business texting. Your agent uses `send_message` to fire off SMS or MMS payloads based on system events. Guardrails validate outbound texts before they hit the network. You check delivery histories using `list_messages` to ensure critical alerts actually reached user devices.
Manage OpenAI Agents SDK contacts
Handling customer data requires strict validation. The agent checks identity with `get_account_info`, creates profiles with `create_contact`, and pulls existing details via `get_contact` during active conversations. This MCP Server keeps handoffs between specialized agents contextually aware. One agent pulls the directory with `list_contacts` while another applies status changes using `update_contact`.
Control automated support workflows
Support systems rely on organized queues. Your application pulls active threads using `list_tickets` and modifies their states with `update_ticket` as issues resolve. Event-driven architectures need reliable callbacks. The agent configures endpoints via `create_webhook`, lists active ones with `list_webhooks`, and removes obsolete routes using `delete_webhook`.
Set up Avochato 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 Avochato tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Avochato tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Avochato 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="Avochato Agent",
instructions="You have access to Avochato 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 Avochato. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Avochato MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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