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

Q: How do I perform a search in Pics.io using OpenAI Agents SDK?

Use the searchassets tool within your agent definition. Pass your query string as an argument, and the server returns a list of matching asset objects. It's the fastest way to find files programmatically.

Q: Can OpenAI Agents SDK automatically tag new files in Pics.io?

Yes. Your agent can call listassets to detect new arrivals, analyze them, and use updateasset to append metadata. This keeps your library organized without manual input.

Q: Does the OpenAI Agents SDK connection to Pics.io support large asset batches?

You can iterate through asset lists using listassets and process them in chunks. The tool is built to handle multiple requests, ensuring your agent doesn't time out during large library scans.

Connect your OpenAI Agents SDK to your media library. Manage assets, revisions, and metadata directly through your production agent code.

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Connect Pics.io MCP to OpenAI Agents SDK

Create your Vinkius account to connect Pics.io to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Pics.io with OpenAI Agents SDK

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Automated asset and revision tracking

Your agent can pull current file states using `list_assets` and `get_asset`. It handles version control by calling `list_revisions` to compare file histories without manual intervention. This MCP server provides the exact data structure your agent needs for audit logs. When a file update is required, the agent uses `update_asset` to push changes back to your library.

Programmatic collection management

Agents can organize incoming files into structured groups by calling `create_collection`. It keeps your library clean by using `delete_collection` when temporary project folders are no longer needed. Retrieving specific groups is handled through `get_collection`. This gives your agent a clear view of project-specific assets, allowing it to act on filtered subsets of your data.

Contextual metadata feedback loops

Your agent can read existing discussions on files using `list_comments`. It then provides status updates or feedback by triggering `add_comment` directly from your execution thread. This creates a closed-loop system for design reviews. Your agent acts as the bridge between incoming feedback and the source files within your library.

Setup guide

Set up Pics.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 Pics.io tools at runtime.
3

Create your Agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pics.io. 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 Pics.io MCP in OpenAI Agents SDK

Use the `search_assets` tool within your agent definition. Pass your query string as an argument, and the server returns a list of matching asset objects. It's the fastest way to find files programmatically.

Yes. Your agent can call `list_assets` to detect new arrivals, analyze them, and use `update_asset` to append metadata. This keeps your library organized without manual input.

You can iterate through asset lists using `list_assets` and process them in chunks. The tool is built to handle multiple requests, ensuring your agent doesn't time out during large library scans.

The SDK auto-discovers these tools via the MCP protocol. You simply pass the server configuration to your agent constructor, and the model handles the execution flow.

Your data stays within your authorized environment. The server only processes the specific asset metadata and file references you explicitly request, using a secure token-based handshake.

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