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CORE (Open Access Research) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Get Article, Get Article History, Get Article Pdf, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CORE (Open Access Research) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The CORE (Open Access Research) MCP Server for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="CORE (Open Access Research) Assistant",
            instructions=(
                "You help users interact with CORE (Open Access Research). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from CORE (Open Access Research)"
        )
        print(result.final_output)

asyncio.run(main())
CORE (Open Access Research)
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About CORE (Open Access Research) MCP Server

Connect to CORE, the world's largest aggregator of open access research papers. This MCP server allows your AI agent to search, retrieve, and analyze millions of scholarly articles, journals, and institutional repositories through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from CORE (Open Access Research) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CORE (Open Access Research), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Global Search — Search across all CORE resources including articles, journals, and repositories using a single text query.
  • Article Retrieval — Fetch full metadata, version history, and direct PDF download links for specific research papers using CORE IDs.
  • Journal & Repository Discovery — Search and inspect specific journals by ISSN or explore institutional repositories to find authoritative sources.
  • OAI Resolution — Resolve Open Archives Initiative (OAI) identifiers to access original metadata and repository pages.
  • Deep Metadata Inspection — Analyze article history and updates to ensure you are working with the latest scientific information.

The CORE (Open Access Research) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 CORE (Open Access Research) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to CORE (Open Access Research) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-access, research-papers, academic-search, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get article on CORE (Open Access Research)

Get a specific article by CORE ID

get

Get article history on CORE (Open Access Research)

Get the history of an article

get

Get article pdf on CORE (Open Access Research)

Get the PDF download URL for an article

get

Get journal on CORE (Open Access Research)

Get a specific journal by ISSN

get

Get repository on CORE (Open Access Research)

Get a specific repository by ID

global

Global search on CORE (Open Access Research)

Global search across CORE

resolve

Resolve oai on CORE (Open Access Research)

Resolve an OAI identifier

search

Search articles on CORE (Open Access Research)

Search for articles

search

Search journals on CORE (Open Access Research)

Search for journals

search

Search repositories on CORE (Open Access Research)

Search for repositories

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

Follow these steps to wire CORE (Open Access Research) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 10 tools from CORE (Open Access Research)

Why Use OpenAI Agents SDK with the CORE (Open Access Research) MCP Server

OpenAI Agents SDK provides unique advantages when paired with CORE (Open Access Research) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

CORE (Open Access Research) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the CORE (Open Access Research) MCP Server delivers measurable value.

01

Automated workflows: build agents that query CORE (Open Access Research), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries CORE (Open Access Research), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through CORE (Open Access Research) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query CORE (Open Access Research) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for CORE (Open Access Research) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with CORE (Open Access Research) immediately.

01

"Search CORE for the latest research on transformer architectures in NLP."

02

"Get the PDF download link for the article with CORE ID 123456."

03

"Find information about the journal with ISSN 2041-1723."

Troubleshooting CORE (Open Access Research) MCP Server with OpenAI Agents SDK

Common issues when connecting CORE (Open Access Research) to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

CORE (Open Access Research) + OpenAI Agents SDK FAQ

Common questions about integrating CORE (Open Access Research) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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