How to Use the Mediastack MCP in OpenAI Agents SDK

Q: How do I fetch live news with Mediastack in my OpenAI Agents SDK project?

You invoke the getnews tool within your agent's toolset. It connects to the API and returns the articles as structured data for your agent to process.

Q: Does this Mediastack MCP Server support historical data for OpenAI Agents SDK?

Yes. You pass a specific date parameter to the getnews tool. This allows your agent to retrieve past news records for your specific research needs.

Q: Can I filter news by publisher using Mediastack and OpenAI Agents SDK?

Absolutely. Use listsources to see available providers, then pass the relevant source ID to getnews. This ensures your agent only pulls data from the outlets you trust.

Connect your OpenAI Agents SDK project to 7,500+ news sources and pull live data directly into your agent's decision logic.

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Connect Mediastack MCP to OpenAI Agents SDK

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

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Real-time news for OpenAI Agents SDK

The `get_news` tool lets your agent pull articles based on specific dates or live updates. You get immediate access to global news without leaving your Python environment. Your agent parses the raw article data instantly. It handles historical lookups so you can build trends or sentiment analysis directly into your agent's workflow.

Source discovery in OpenAI Agents SDK

Use the `list_sources` tool to audit every publisher available through the server. This gives your agent a map of all 7,500+ outlets it can query. Filtering your data becomes trivial when you know exactly what sources are active. Your agent can cross-reference these lists to confirm the origin of any news item it processes.

Production-ready MCP Server integration

This MCP server integrates cleanly with the OpenAI Agents SDK using the `MCPServerStreamableHttp` class. You just point it at the Vinkius endpoint and let the agent auto-discover the tools. Setting `cacheToolsList=True` keeps your agent fast by reducing unnecessary network calls. It's a direct connection that keeps your agent's tool registry clean and functional.

Setup guide

Set up Mediastack 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 Mediastack tools at runtime.
3

Create your Agent

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

Run the agent

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

You invoke the `get_news` tool within your agent's toolset. It connects to the API and returns the articles as structured data for your agent to process.

Yes. You pass a specific date parameter to the `get_news` tool. This allows your agent to retrieve past news records for your specific research needs.

Absolutely. Use `list_sources` to see available providers, then pass the relevant source ID to `get_news`. This ensures your agent only pulls data from the outlets you trust.

The client will receive an error response. Your agent logic should include basic retry handling to manage these interruptions gracefully.

The server acts as a pass-through for news metadata. Your API key is kept secure, and no source content is stored on Vinkius servers.

Use it with your favorite AI tools

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