Stanford OpenAlex MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 16 tools to Get Author, Get Author Works, Get Concept, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Stanford OpenAlex 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 Stanford OpenAlex MCP Server for OpenAI Agents SDK is a standout in the Education category — giving your AI agent 16 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Stanford OpenAlex Assistant",
instructions=(
"You help users interact with Stanford OpenAlex. "
"You have access to 16 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Stanford OpenAlex"
)
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 Stanford OpenAlex MCP Server
Connect to the OpenAlex API — the fully open catalog of the global research system.
The OpenAI Agents SDK auto-discovers all 16 tools from Stanford OpenAlex through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Stanford OpenAlex, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Works — Search and analyze 250M+ academic works (papers, books, datasets, patents)
- Authors — Browse 90M+ researcher profiles with h-index, i10-index, and citation metrics
- Institutions — Explore 100K+ universities, labs, and research organizations worldwide
- Sources — Query 240K+ journals, conferences, and repositories with impact metrics
- Concepts — Navigate the 65K+ scientific concept taxonomy from broad to specific
- Funders — Discover which organizations fund specific research areas
- Publishers — Analyze the academic publishing landscape
- Topics — Explore hierarchical topic classifications across all of science
- Open Access — Find freely available research papers
The Stanford OpenAlex MCP Server exposes 16 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 16 Stanford OpenAlex tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Stanford OpenAlex through Vinkius, your AI agent gets direct access to every tool listed below — spanning openalex, academic-research, bibliometrics, 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 author on Stanford OpenAlex
Returns name, affiliations, paper count, citation count, h-index, i10-index, 2-year mean citedness, top research concepts, and publication trends by year. The definitive tool for assessing academic impact. Get author profile with h-index, citations, and impact metrics
Get author works on Stanford OpenAlex
Returns works with titles, DOIs, years, citation counts, open access status, and primary venues. Sort by "cited_by_count:desc" for most cited or "publication_date:desc" for most recent. Get all works by a specific author
Get concept on Stanford OpenAlex
Essential for understanding the structure of a research field. Get concept details with ancestors, related concepts, and trends
Get funder on Stanford OpenAlex
Use this to understand which organizations fund specific research areas. Get funder details and funded research statistics
Get institution on Stanford OpenAlex
Get institution details with research metrics and collaborations
Get source on Stanford OpenAlex
Essential for evaluating journal quality and coverage. Get journal or conference details with impact metrics
Get work on Stanford OpenAlex
Accepts OpenAlex IDs (e.g. "W2741809807"), DOIs (e.g. "https://doi.org/10.1038/s41586-021-03819-2"), PubMed IDs (e.g. "pmid:34845388"), or MAG IDs. Returns title, abstract, authors with institutions, concepts, citation count, open access status, and publication details. Get academic work details by OpenAlex ID, DOI, or PubMed ID
Search authors on Stanford OpenAlex
Returns display name, ORCID, works count, citation count, h-index, i10-index, and last known institution. Filter examples: "cited_by_count:>10000", "works_count:>100", "last_known_institutions.country_code:US". Search 90M+ academic authors by name
Search concepts on Stanford OpenAlex
Returns names, levels, descriptions, works counts, and citation counts. Search 65K+ scientific concepts in the knowledge hierarchy
Search funders on Stanford OpenAlex
Returns names, countries, grants counts, works funded, and citation impact. Essential for understanding research funding landscapes. Search funding organizations worldwide
Search institutions on Stanford OpenAlex
Returns names, countries, types, works counts, citation counts, and homepages. Filter examples: "country_code:US", "type:education", "cited_by_count:>1000000". Search 100K+ research institutions worldwide
Search open access on Stanford OpenAlex
This is a specialized filter of the works endpoint that returns only papers with open access PDFs. Ideal for researchers who need freely accessible literature for reading, citation, or meta-analysis. Search only open access academic works
Search publishers on Stanford OpenAlex
Returns names, countries, works counts, and citation counts. Useful for analyzing the publishing landscape. Search academic publishers
Search sources on Stanford OpenAlex
Returns names, ISSNs, types, works counts, citation counts, and open access status. Filter examples: "type:journal", "is_oa:true", "cited_by_count:>100000". Search 240K+ academic journals, conferences, and repositories
Search topics on Stanford OpenAlex
Returns topic names, descriptions, associated works and citations, plus the parent field and domain. Use this to map the landscape of a research area. Search topic classifications across all of science
Search works on Stanford OpenAlex
Supports full-text search plus structured filters. Filter syntax examples: "publication_year:2024", "open_access.is_oa:true", "type:journal-article", "cited_by_count:>100". Sort options: "cited_by_count:desc", "publication_date:desc", "relevance_score:desc". Search 250M+ academic works by keyword or filter
Connect Stanford OpenAlex to OpenAI Agents SDK via MCP
Follow these steps to wire Stanford OpenAlex into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Stanford OpenAlex MCP Server
OpenAI Agents SDK provides unique advantages when paired with Stanford OpenAlex 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
Stanford OpenAlex + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Stanford OpenAlex MCP Server delivers measurable value.
Automated workflows: build agents that query Stanford OpenAlex, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Stanford OpenAlex, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Stanford OpenAlex tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Stanford OpenAlex to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Stanford OpenAlex in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Stanford OpenAlex immediately.
"Which universities have the highest research output in AI?"
"What are the most cited open access papers on CRISPR?"
"Show me the concept hierarchy for machine learning"
Troubleshooting Stanford OpenAlex MCP Server with OpenAI Agents SDK
Common issues when connecting Stanford OpenAlex to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Stanford OpenAlex + OpenAI Agents SDK FAQ
Common questions about integrating Stanford OpenAlex 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?
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