Avochato MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Avochato through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Avochato Assistant",
instructions=(
"You help users interact with Avochato. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Avochato"
)
print(result.final_output)
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 Avochato MCP Server
Connect your Avochato account to any AI agent and manage your business messaging workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Avochato through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Avochato, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Business Messaging — Send and receive SMS/MMS messages with full delivery status tracking and conversation history
- Contact Organization — Create, update, and search for contacts and manage tags to segment your audience
- Broadcast Management — Coordinate and audit mass messaging campaigns and broadcasts across your target inboxes
- Inbox Auditing — Monitor specific subdomains and verify current API user details for secure communication
The Avochato MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Avochato to OpenAI Agents SDK via MCP
Follow these steps to integrate the Avochato MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Avochato
Why Use OpenAI Agents SDK with the Avochato MCP Server
OpenAI Agents SDK provides unique advantages when paired with Avochato through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Avochato + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Avochato MCP Server delivers measurable value.
Automated workflows: build agents that query Avochato, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Avochato, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Avochato tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Avochato to resolve tickets, look up records, and update statuses without human intervention
Avochato MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Avochato to OpenAI Agents SDK via MCP:
create_broadcast
Schedule or send a message broadcast
create_contact
Add a new contact to Avochato
get_account_check
Verify Avochato account connection
get_contact
Get details for a specific contact
list_broadcasts
List message broadcasts
list_contacts
List and search contacts
list_messages
List message history in Avochato
send_message
Send an SMS/MMS message
update_contact
Update an existing contact
who_am_i
Get current API user and inbox information
Example Prompts for Avochato in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Avochato immediately.
"Send a message to '555-0199': 'Hi there, your order is ready for pickup!'"
"List the last 10 messages from today."
"Find all contacts with the tag 'High-Value'."
Troubleshooting Avochato MCP Server with OpenAI Agents SDK
Common issues when connecting Avochato to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Avochato + OpenAI Agents SDK FAQ
Common questions about integrating Avochato MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Avochato with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Avochato to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
