How to Use the Unpaywall (Open Access Papers) MCP in CrewAI

Q: How can Unpaywall (Open Access Papers) and CrewAI check OA status?

Assign the getarticleoastatus tool to a specialized 'Researcher' agent. This agent takes the DOI, runs the tool, and retrieves both the Open Access status and any associated PDF links.

Q: How do I structure an Unpaywall (Open Access Papers) task with CrewAI?

Define a 'Tool User' agent and give it access to getarticleoastatus. Give this agent the role of verifying scholarly article availability using DOIs.

Autonomous OA Research with CrewAI and Unpaywall (Open Access Papers).

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Connect Unpaywall (Open Access Papers) MCP to CrewAI

Create your Vinkius account to connect Unpaywall (Open Access Papers) 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 Unpaywall (Open Access Papers) with CrewAI

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Collaborative OA Status Retrieval

You set up a crew where one agent is specialized in research. This agent uses `get_article_oa_status` to check the Open Access status and locate PDF links for any provided DOI. The output from this tool then becomes shared memory, allowing a second 'analysis' agent to immediately process the retrieved data.

Autonomous Research Pipelines

The CrewAI framework allows you to build a pipeline where monitoring agents trigger the OA check. When a DOI is found, `get_article_oa_status` runs autonomously without human intervention. The whole process—from research to data retrieval—is managed by specialized roles working together.

Managing Specialized Tools

By using the tool filter in CrewAI, you expose only `get_article_oa_status` to your agent crew. This keeps the agents focused on one job: confirming Open Access status for a DOI. The result is highly reliable and targeted operations.

Setup guide

Set up Unpaywall (Open Access Papers) 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 Unpaywall (Open Access Papers) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Unpaywall (Open Access Papers) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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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="Unpaywall (Open Access Papers) Analyst",
        goal="Access and analyze Unpaywall (Open Access Papers) data via MCP.",
        backstory="Expert analyst with direct Unpaywall (Open Access Papers) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Unpaywall (Open Access Papers) 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 →

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Common questions about Unpaywall (Open Access Papers) MCP in CrewAI

Assign the `get_article_oa_status` tool to a specialized 'Researcher' agent. This agent takes the DOI, runs the tool, and retrieves both the Open Access status and any associated PDF links.

Yes. You can build a hierarchical crew where one agent finds DOIs, another runs `get_article_oa_status`, and a third summarizes the findings from the shared memory.

The system takes DOI strings as input. The MCP Server processes these to confirm Open Access status, generating structured output about the article's availability.

Define a 'Tool User' agent and give it access to `get_article_oa_status`. Give this agent the role of verifying scholarly article availability using DOIs.

The server only handles DOI strings. It performs read-only checks against public databases to determine Open Access status, keeping all operations non-invasive regarding private data.

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