CrossRef MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CrossRef 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
Vinkius supports streamable HTTP and SSE.
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="CrossRef Assistant",
instructions=(
"You help users interact with CrossRef. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from CrossRef"
)
print(result.final_output)
asyncio.run(main())
* 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 CrossRef MCP Server
Give your AI agent direct access to the world's largest registry of scholarly metadata — 140M+ records spanning every DOI ever assigned across all scientific publishers.
The OpenAI Agents SDK auto-discovers all 3 tools from CrossRef through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CrossRef, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Universal Search — Find any published work across journals, books, conference papers, datasets, and dissertations using free-text queries
- DOI Resolution — Instant metadata lookup for any DOI with title, complete author list, journal, year, type, and citation count
- Author Discovery — Search for all publications by a specific researcher name across all major publishers simultaneously
The CrossRef MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CrossRef to OpenAI Agents SDK via MCP
Follow these steps to integrate the CrossRef MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 3 tools from CrossRef
Why Use OpenAI Agents SDK with the CrossRef MCP Server
OpenAI Agents SDK provides unique advantages when paired with CrossRef through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
CrossRef + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the CrossRef MCP Server delivers measurable value.
Automated workflows: build agents that query CrossRef, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries CrossRef, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through CrossRef tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query CrossRef to resolve tickets, look up records, and update statuses without human intervention
CrossRef MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect CrossRef to OpenAI Agents SDK via MCP:
get_crossref_doi
g. 10.1038/nature12373) and get complete metadata: title, all authors, journal, year, type, citation count, and abstract. Look up any scholarly work by its DOI
search_crossref
Every result includes DOI, citation count, and full bibliographic data. The world's largest DOI registry. Search 140M+ scholarly works across all scientific disciplines
search_crossref_author
Returns their publications sorted by relevance with citation counts. Find publications by a specific author
Example Prompts for CrossRef in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with CrossRef immediately.
"Look up the paper with DOI 10.1038/nature12373 and show me all its details."
"Find all publications by Jennifer Doudna related to gene editing."
"Search CrossRef for the latest research on quantum computing error correction."
Troubleshooting CrossRef MCP Server with OpenAI Agents SDK
Common issues when connecting CrossRef to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
CrossRef + OpenAI Agents SDK FAQ
Common questions about integrating CrossRef MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect CrossRef with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CrossRef to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.