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

Q: How do I connect Curator.io to OpenAI Agents SDK?

Pass MCPServerStreamableHttp(params=MCPServerStreamableHttpParams(url="...")) as mcpservers=server to your Agent constructor. This MCP Server auto-discovers tools immediately. Set cacheToolsList=True to speed up initialization.

Q: Which Curator.io data can the agent search?

Agents use searchpostsinfeed to find specific keywords across your aggregated social posts. The search runs against the indexed content within a specific feed ID.

Connect Curator.io to your OpenAI Agents SDK system to build safe, production-ready social media moderation agents.

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Connect Curator.io MCP to OpenAI Agents SDK

Create your Vinkius account to connect Curator.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 Curator.io with OpenAI Agents SDK

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Audit social content with OpenAI Agents SDK

The `list_feed_posts` and `search_posts_in_feed` tools let your OpenAI agents pull recent social content directly into their context window. You can build specialized agents that read through incoming Instagram or Twitter posts and hand off flagged content to human reviewers. Tracing through the OpenAI dashboard shows exactly which posts triggered a specific moderation path. Your agent calls `get_feed_post_count` to check volume spikes, allowing it to scale its processing rate automatically.

Validate feed rules automatically

Calling `list_moderation_rules` exposes your exact keyword filters and exclusion patterns to the agent. Guardrails built into the SDK force your agent to respect these exact rules before it proposes any changes to your feed configuration. If an agent needs to check why a specific post appeared, it runs `get_feed_details` to verify the current design and moderation settings. You get a transparent, auditable trail of every rule check.

Monitor active MCP Server sources

Using `list_social_connections` gives your agent immediate visibility into the authentication state of your connected social accounts. When an Instagram token expires, your agent knows immediately and can trigger an alert. Handoffs work perfectly here. One agent monitors connection health via `list_feed_sources`, and if a source drops, it passes control to a notification agent that pages your social team.

Setup guide

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

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Curator.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 Curator.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="Curator.io Agent",
            instructions="You have access to Curator.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 Curator.io MCP in OpenAI Agents SDK

Pass `MCPServerStreamableHttp(params=MCPServerStreamableHttpParams(url="..."))` as `mcp_servers=[server]` to your Agent constructor. This MCP Server auto-discovers tools immediately. Set `cacheToolsList=True` to speed up initialization.

This MCP Server provides read-only access to your feeds and posts. Your agents can read data using tools like `list_active_feeds`, but they cannot delete posts or change settings.

The SDK relies on your agent's built-in retry logic. If a call to `get_account_details` hits a limit, the agent pauses and retries based on the headers returned by the Vinkius endpoint.

Agents use `search_posts_in_feed` to find specific keywords across your aggregated social posts. The search runs against the indexed content within a specific feed ID.

Vinkius isolates every MCP session in a V8 sandbox. When your agent pulls Instagram captions or Twitter handles, that data flows through an ephemeral zero-trust tunnel directly into your OpenAI environment.

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