Stanford OpenAlex MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Get Author, Get Author Works, Get Concept, and more

Name: Stanford OpenAlex
Price: 29 USD
Availability: InStock
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Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Stanford OpenAlex as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Stanford OpenAlex MCP Server for LlamaIndex is a standout in the Education category — giving your AI agent 16 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Stanford OpenAlex. "
            "You have 16 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Stanford OpenAlex?"
    )
    print(response)

asyncio.run(main())

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About Stanford OpenAlex MCP Server

Connect to the OpenAlex API — the fully open catalog of the global research system.

LlamaIndex agents combine Stanford OpenAlex tool responses with indexed documents for comprehensive, grounded answers. Connect 16 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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

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

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

Get concept on Stanford OpenAlex

Essential for understanding the structure of a research field. Get concept details with ancestors, related concepts, and trends

get

Get funder on Stanford OpenAlex

Use this to understand which organizations fund specific research areas. Get funder details and funded research statistics

get

Get institution on Stanford OpenAlex

Get institution details with research metrics and collaborations

get

Get source on Stanford OpenAlex

Essential for evaluating journal quality and coverage. Get journal or conference details with impact metrics

get

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 LlamaIndex via MCP

Follow these steps to wire Stanford OpenAlex into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 16 tools from Stanford OpenAlex

Why Use LlamaIndex with the Stanford OpenAlex MCP Server

LlamaIndex provides unique advantages when paired with Stanford OpenAlex through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Stanford OpenAlex tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Stanford OpenAlex tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Stanford OpenAlex, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Stanford OpenAlex tools were called, what data was returned, and how it influenced the final answer

Stanford OpenAlex + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Stanford OpenAlex MCP Server delivers measurable value.

Hybrid search: combine Stanford OpenAlex real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Stanford OpenAlex to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Stanford OpenAlex for fresh data

Analytical workflows: chain Stanford OpenAlex queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Stanford OpenAlex in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Stanford OpenAlex to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Stanford OpenAlex + LlamaIndex FAQ

Common questions about integrating Stanford OpenAlex MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Stanford OpenAlex tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.