Is the OpenAlex API key free and how do I get one?

Yes, the API key is completely free. OpenAlex provides 100,000 credits per day at no cost. Create your free account at openalex.org, then navigate to Settings → API to generate your key. The key is required since February 2026 when OpenAlex retired the 'polite pool' system.

How does OpenAlex compare to Scopus and Web of Science?

OpenAlex is a fully open, CC0-licensed alternative covering 250M+ works — comparable in scope to Scopus (90M+) and far exceeding Web of Science (90M+). It provides citation metrics, h-indexes, institutional data, and open access detection. The key difference: OpenAlex is completely free with no institutional subscription required, while Scopus and WoS cost thousands of dollars per year.

What data is available for each scholarly work?

Each work includes: title, authors with institutional affiliations, publication year, journal/source, DOI, work type, citation count, open access status and URL, research topics/concepts, and a reconstructed abstract. Author profiles add h-index, total publications, and career affiliations. Institutions include country, type, and research area specializations.

OpenAlex MCP Server for CrewAI 5 tools — connect in under 2 minutes

Name: OpenAlex
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 5 Tools Framework

Connect your CrewAI agents to OpenAlex through Vinkius, pass the Edge URL in the `mcps` parameter and every OpenAlex tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="OpenAlex Specialist",
    goal="Help users interact with OpenAlex effectively",
    backstory=(
        "You are an expert at leveraging OpenAlex tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in OpenAlex "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About OpenAlex MCP Server

Connect your AI agent to the world's largest fully open catalog of scholarly works — a free, CC0-licensed replacement for enterprise platforms like Scopus and Web of Science.

When paired with CrewAI, OpenAlex becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call OpenAlex tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Works Search — Search 250M+ works with complete metadata including authors, institutional affiliations, citation counts, open access status, and reconstructed abstracts
Author Profiles — Find researchers worldwide with publication counts, total citations, h-index metrics, and current institutional affiliation
Institution Discovery — Explore the research output of universities, labs, hospitals, and government agencies globally with full bibliometric data
Research Trends — Discover the most researched scientific topics ranked by total number of published works to understand where the scientific community is focusing
Open Access Detection — Every work indicates its open access status (green, gold, hybrid, bronze) for instant full-text availability assessment

The OpenAlex MCP Server exposes 5 tools through the Vinkius. Connect it to CrewAI 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 OpenAlex to CrewAI via MCP

Follow these steps to integrate the OpenAlex MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 5 tools from OpenAlex

Why Use CrewAI with the OpenAlex MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with OpenAlex through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

OpenAlex + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries OpenAlex for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries OpenAlex, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain OpenAlex tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries OpenAlex against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

OpenAlex MCP Tools for CrewAI (5)

These 5 tools become available when you connect OpenAlex to CrewAI via MCP:

get_openalex_trending_topics

Essential for understanding global research trends. Discover the most researched scientific topics and concepts globally

get_openalex_work

Accepts OpenAlex ID (e.g. W2741809809 or full URL) or DOI (e.g. 10.1038/nature12373). Get full details of an academic work by OpenAlex ID or DOI

search_openalex_authors

Returns works count, total citations, h-index, current institution, and top research concepts. Find researchers with publication metrics, h-index, and institutional affiliations

search_openalex_institutions

Returns publication counts, citation metrics, country, and top research areas. Covers universities, research labs, hospitals, and government agencies globally. Find research institutions, universities, and organizations worldwide

search_openalex_works

Returns title, authors with institutional affiliations, journal, year, citation count, open access status, concepts, and reconstructed abstracts. CC0 licensed data. Search 250M+ academic works in the world's largest open scholarly database

Example Prompts for OpenAlex in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with OpenAlex immediately.

"Which institutions publish the most research on quantum computing worldwide?"

"Search for Geoffrey Hinton and show me his publication metrics and affiliations."

"What are the most researched scientific topics globally right now?"

Troubleshooting OpenAlex MCP Server with CrewAI

Common issues when connecting OpenAlex to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

OpenAlex + CrewAI FAQ

Common questions about integrating OpenAlex MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.