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PubMed Central MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to Convert Ids, Get Article Summary, Get Bioc Article, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect PubMed Central 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 PubMed Central MCP Server for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 7 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="PubMed Central Assistant",
            instructions=(
                "You help users interact with PubMed Central. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from PubMed Central"
        )
        print(result.final_output)

asyncio.run(main())
PubMed Central
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* 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 PubMed Central MCP Server

Connect your AI agent to PubMed Central (PMC), the world's premier digital archive of biomedical and life sciences journal literature. This server enables deep exploration of millions of open-access articles directly through natural conversation.

The OpenAI Agents SDK auto-discovers all 7 tools from PubMed Central through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries PubMed Central, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Advanced Search — Use search_articles to find PMCIDs matching complex queries, including authors, dates, and specific filters.
  • Full-Text Retrieval — Access complete article content in BioC XML or JSON formats using get_bioc_article for deep analysis.
  • Citation Analysis — Track the scientific impact of research by finding articles that cite a specific PMID with get_citing_articles.
  • Identifier Mapping — Seamlessly convert between PMCIDs, PMIDs, and DOIs using convert_ids to ensure data consistency.
  • Metadata Harvesting — Retrieve document summaries, license information, and file locations for Open Access records via get_article_summary and get_oa_record.

The PubMed Central MCP Server exposes 7 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 7 PubMed Central tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to PubMed Central through Vinkius, your AI agent gets direct access to every tool listed below — spanning pubmed, biomedical, open-access, 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.

convert

Convert ids on PubMed Central

Convert between article identifiers (PMCID, PMID, DOI)

get

Get article summary on PubMed Central

Get metadata summaries for PMC articles

get

Get bioc article on PubMed Central

Retrieve full-text articles via the BioC API

get

Get citing articles on PubMed Central

Find PMC articles that cite a specific PubMed ID

get

Get oa record on PubMed Central

Find citation data, license info, and file locations for OA articles

oai

Oai pmh request on PubMed Central

Harvest metadata via the PMC OAI-PMH Service

search

Search articles on PubMed Central

Search for articles in PubMed Central

Connect PubMed Central to OpenAI Agents SDK via MCP

Follow these steps to wire PubMed Central 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 7 tools from PubMed Central

Why Use OpenAI Agents SDK with the PubMed Central MCP Server

OpenAI Agents SDK provides unique advantages when paired with PubMed Central 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

PubMed Central + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the PubMed Central MCP Server delivers measurable value.

01

Automated workflows: build agents that query PubMed Central, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries PubMed Central, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through PubMed Central tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query PubMed Central to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for PubMed Central in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with PubMed Central immediately.

01

"Search PubMed Central for recent articles about 'CRISPR gene editing' published in 2023."

02

"Get the full-text content of article PMC7840891 in JSON format."

03

"Convert the DOI 10.1038/s41586-020-2012-7 to a PMCID."

Troubleshooting PubMed Central MCP Server with OpenAI Agents SDK

Common issues when connecting PubMed Central 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.

PubMed Central + OpenAI Agents SDK FAQ

Common questions about integrating PubMed Central 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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