How to Use the Unpaywall (Open Access Papers) MCP in OpenAI Agents SDK
Verify open access status for research papers using OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Unpaywall (Open Access Papers) MCP to OpenAI Agents SDK
Create your Vinkius account to connect Unpaywall (Open Access Papers) 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.
Check Open Access Status via MCP Server
The `get_article_oa_status` tool checks a DOI and immediately tells you if the article is available in open access. It retrieves not just the status, but also specific locations where you can find the full-text PDF links. This gives your agent precise data points it needs to proceed with literature review tasks. You're not guessing; you know exactly where to look for scholarly material.
Managing Literature Discovery with OpenAI Agents SDK
Your agents can now build sophisticated workflows that start by gathering a list of DOIs, then passing them sequentially through the `get_article_oa_status` tool. This process verifies availability before any deeper analysis begins. The agent handles the handoff: if one paper is open access and another isn't, the workflow adjusts automatically, saving you time on dead-end research paths.
Structured Data Retrieval for Agents
The tool returns structured data containing the OA status and multiple URL options. This means your agent doesn't just get a 'yes/no'; it gets actionable links. Your production agents can use this reliable output to populate databases or trigger subsequent actions, making the entire system dependable.
Set up Unpaywall (Open Access Papers) MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Unpaywall (Open Access Papers) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Unpaywall (Open Access Papers) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Unpaywall (Open Access Papers) tools and returns structured results. Copy the full example on the right to get started.
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="Unpaywall (Open Access Papers) Agent",
instructions="You have access to Unpaywall (Open Access Papers) tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Unpaywall. 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 Unpaywall (Open Access Papers) MCP in OpenAI Agents SDK
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