Stanford OpenAlex MCP Server for Pydantic AIGive Pydantic AI instant access to 16 tools to Get Author, Get Author Works, Get Concept, and more

Name: Stanford OpenAlex
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Stanford OpenAlex through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

Built for AI Agents by Vinkius

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Stanford OpenAlex "
            "(16 tools)."
        ),
    )

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

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.

Pydantic AI validates every Stanford OpenAlex tool response against typed schemas, catching data inconsistencies at build time. Connect 16 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Stanford OpenAlex MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Stanford OpenAlex integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Stanford OpenAlex connection logic from agent behavior for testable, maintainable code

Stanford OpenAlex + Pydantic AI Use Cases

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

Type-safe data pipelines: query Stanford OpenAlex with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Stanford OpenAlex tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Stanford OpenAlex and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Stanford OpenAlex responses and write comprehensive agent tests

Example Prompts for Stanford OpenAlex in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Stanford OpenAlex + Pydantic AI FAQ

Common questions about integrating Stanford OpenAlex MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Stanford OpenAlex MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.