How to Use the Zesty.io MCP in OpenAI Agents SDK

Q: What if I need to check all my existing Zesty.io instances?

The listzestyinstances tool handles this directly. It gives a full overview of every account and instance linked under your current developer setup, keeping everything centralized.

Q: Can the OpenAI Agents SDK use Zesty.io to verify content details?

Absolutely. You can call getcontentitem by passing in a unique ID. The agent retrieves all metadata and field values for that specific piece of content, ensuring accuracy.

Q: Is the data handled by Zesty.io accessible through the OpenAI Agents SDK?

Yes. Your agent can use listcontentmodels to first identify what kind of models are available. This is the starting point for managing any content.

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Connect Zesty.io MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zesty.io 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.

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Setup Zesty.io with OpenAI Agents SDK

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Model and Instance Management

The `list_content_models` tool lets you identify all available Model ZUIDs. You'll need those IDs to interact with the content service, so checking models first is smart. It also provides `list_zesty_instances`, giving your agent a clear view of every Zesty.io instance connected to this account.

Content Item CRUD Operations

Need to create something new? Call `create_content_item` with the required JSON fields, and that content piece is immediately available. You can then use `get_content_item` to pull its full details right away. If you need an update, just run `update_content_item`. This handles modifying existing items safely before they go live.

Comprehensive Content Oversight

Listing content is simple. Use `list_content_items` to see everything associated with a specific model. If you need to purge something, the `delete_content_item` tool handles that clean-up process. These tools ensure your agent can audit and manage every piece of structured data within Zesty.io.

Setup guide

Set up Zesty.io MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Zesty.io tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zesty.io tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zesty.io tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Zesty.io Agent",
            instructions="You have access to Zesty.io tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Zesty.io MCP in OpenAI Agents SDK

The MCP Server exposes Zesty's core functions, letting your agent treat content management like any other tool. Your AI client auto-discovers these specific tools using zero configuration when you pass the server into the Agent constructor.

The `list_zesty_instances` tool handles this directly. It gives a full overview of every account and instance linked under your current developer setup, keeping everything centralized.

Absolutely. You can call `get_content_item` by passing in a unique ID. The agent retrieves all metadata and field values for that specific piece of content, ensuring accuracy.

Yes. Your agent can use `list_content_models` to first identify what kind of models are available. This is the starting point for managing any content.

This server manages three core types: Content Models, Content Items, and Instances. When designing your agent flow, keep track of which specific instance ID you're referencing.

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