How to Use the CORE (Open Access Research) MCP in OpenAI Agents SDK

Pull research directly into your OpenAI Agents SDK production flows without leaving your Python code.

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Connect CORE (Open Access Research) MCP to OpenAI Agents SDK

Create your Vinkius account to connect CORE (Open Access Research) 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 CORE (Open Access Research) with OpenAI Agents SDK

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Search CORE (Open Access Research) inside OpenAI Agents SDK

Trigger `global_search` or `search_articles` to pull citations directly into your agent's reasoning loop. You get raw metadata without manual scraping. This MCP server provides the exact structure your agents need for verifiable facts. Your code handles the research pipeline while the agent manages the context.

Fetch full-text assets via OpenAI Agents SDK

Use `get_article_pdf` to grab direct download links for papers identified by your agent. It bypasses the usual dead ends found in standard web searches. Your production agent can now ingest academic PDFs as part of its automated task sequence. The integration keeps your research pipeline contained within your defined safety guardrails.

Verify academic sources in OpenAI Agents SDK

Call `get_article` or `resolve_oai` to confirm the integrity of specific research records. You ensure your agent pulls from validated repositories every time. This prevents the agent from hallucinating metadata by grounding it in real CORE (Open Access Research) IDs. Your tracing dashboard will show exactly when and how the agent interacts with these endpoints.

Setup guide

Set up CORE (Open Access Research) 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 CORE (Open Access Research) tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the necessary dependencies and pass the server URL into your agent constructor. The toolset auto-discovers endpoints immediately. It runs as an async context manager inside your production logic.

Yes, you can define logic in your agent to parse the tool output before it hits your final response. The model receives structured data that you can validate before proceeding. It keeps your agent output clean and relevant.

Absolutely. Every tool invocation logs its activity directly to your OpenAI dashboard. You track the exact latency and success rate of every research query.

It relies on Vinkius infrastructure to maintain a persistent link. We handle the connection lifecycle so your code remains focused on the agent's core task.

The server only touches public metadata and open-access URLs. No private user credentials or sensitive internal documents ever cross this boundary. We keep your research data separate from your agent's configuration.

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