How to Use the Viesus MCP in OpenAI Agents SDK

Q: How do I check Viesus API status with OpenAI Agents SDK?

You just need to call checkapihealth via your agent. This confirms the entire MCP Server is online and ready for action. It’s a quick check that gives you peace of mind before starting any heavy processing.

Q: Can I list configured webhooks using Viesus and OpenAI Agents SDK?

Yep. The tool listconfiguredwebhooks lets your agent see exactly which external endpoints are set up for notifications. This is useful when you need to build a multi-step workflow.

Q: If I run multiple jobs, how do I track them with Viesus and OpenAI Agents SDK?

You use listprocessinghistory to pull up a record of everything that happened. This means you don't have to manually keep track; the agent just pulls the data.

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Connect Viesus MCP to OpenAI Agents SDK

Create your Vinkius account to connect Viesus 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 Viesus with OpenAI Agents SDK

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Perplexity

Run full image processing pipelines.

Start by calling `upload_image_to_viesus` to get a file into the system. Then, use `enhance_image_ai` to run the enhancement process on that file. The agent handles this sequence of actions, ensuring the job moves from upload to completion automatically.

Monitor complex enhancement jobs.

You can track progress by calling `get_enhancement_job_status`, which gives you a direct status update on any running task. If you need details about what was done, `list_processing_history` shows the agent all recent activity for easy review.

Manage API credentials and settings.

The MCP Server exposes tools to manage your account directly. Use `get_account_credit_balance` before running a large batch job, or check available options by calling `list_enhancement_presets`. This keeps the agent self-aware of resource limits.

Setup guide

Set up Viesus 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 Viesus tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Viesus 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="Viesus Agent",
            instructions="You have access to Viesus 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 Viesus MCP in OpenAI Agents SDK

You just need to call `check_api_health` via your agent. This confirms the entire MCP Server is online and ready for action. It’s a quick check that gives you peace of mind before starting any heavy processing.

This server deals with image files, so the primary data type is binary image data. It also handles structured metadata related to enhancement jobs and account credits.

Yep. The tool `list_configured_webhooks` lets your agent see exactly which external endpoints are set up for notifications. This is useful when you need to build a multi-step workflow.

You use `list_processing_history` to pull up a record of everything that happened. This means you don't have to manually keep track; the agent just pulls the data.

Yes, you can find out exactly which formats are supported by calling `list_supported_file_formats`. This lets your agent validate input files before attempting any enhancement.

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