How to Use the Elsevier ScienceDirect MCP in CrewAI

Q: Can my crew get metadata for a book using its ISBN?

Yes. The getnonserialtitle tool is built for this. An agent can call it with an ISBN to get structured metadata for a book, which is useful for crews that need to process both articles and books.

Assemble a crew of autonomous research agents to analyze Elsevier ScienceDirect using CrewAI.

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Connect Elsevier ScienceDirect MCP to CrewAI

Create your Vinkius account to connect Elsevier ScienceDirect to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Elsevier ScienceDirect with CrewAI

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Assemble a Specialist Research Crew

In CrewAI, every agent has a job. You can build a 'Researcher Agent' whose only task is to run `search_sciencedirect` and find relevant papers. It then passes a list of article IDs to the next specialist in the crew, keeping tasks clean and separated. A 'Compliance Agent' can then take that list. It uses `get_article_entitlement` to check access rights and `get_hosting_permissions` to verify there are no embargo issues. It scrubs the list of any problem articles before handing a clean, vetted list to the 'Analyst Agent'. That's how you build an autonomous and reliable process.

Generate Summaries with a Writing Crew

Once an agent has a vetted list of articles, an 'Analyst Agent' gets to work. It uses `get_article` to pull the abstract or full text for each item, extracts the key findings, and prepares a structured output. Then, it hands off the findings and citation data—pulled with `get_article_metadata`—to a dedicated 'Writer Agent'. This final agent's job is to synthesize all the inputs into a coherent report, complete with correctly formatted citations. The crew works together, each member doing its one job perfectly.

Build a Content Monitoring System

Deploy a CrewAI team that acts as an autonomous monitoring service. A 'Scout Agent' can run `search_sciencedirect` on a schedule, looking for new publications that match specific keywords, authors, or topics. When the Scout finds a new article, it triggers an 'Indexer Agent'. This agent uses `get_serial_title` to get journal info and `get_subject_classifications` to apply topic tags. It then adds the new, categorized entry to your knowledge base. This MCP Server gives your crew the tools to keep your data current without any human input.

Setup guide

Set up Elsevier ScienceDirect MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Elsevier ScienceDirect tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Elsevier ScienceDirect Analyst",
    goal="Access and analyze Elsevier ScienceDirect data via MCP.",
    backstory="Expert analyst with direct Elsevier ScienceDirect access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Elsevier ScienceDirect transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Elsevier ScienceDirect Analyst",
        goal="Access and analyze Elsevier ScienceDirect data via MCP.",
        backstory="Expert analyst with direct Elsevier ScienceDirect access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Elsevier ScienceDirect transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Elsevier ScienceDirect. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Elsevier ScienceDirect MCP in CrewAI

Yes, that's exactly how CrewAI is designed to work. A 'Researcher' agent can use `search_sciencedirect` and pass the resulting article IDs to an 'Analyst' agent for deeper processing.

You'd assign the task to a specialized agent. A 'Compliance' agent's sole job could be to run `get_article_entitlement` on each article ID before any other agent in the crew attempts to download it.

For a quick start, pass the MCP Server URL directly into the `mcps` list when defining your agent. For more granular control, you can use the `MCPServerHTTP` class to filter exactly which tools each agent can see and use.

Yes. The `get_nonserial_title` tool is built for this. An agent can call it with an ISBN to get structured metadata for a book, which is useful for crews that need to process both articles and books.

The server is stateless and doesn't store anything. It's a secure proxy that handles the real-time exchange of article identifiers and content between your agents and the Elsevier API. Your data remains private.

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