How to Use the DOAJ MCP in CrewAI

Q: How do I limit which tools an agent can use in DOAJ?

You use the toolfilter in the CrewAI MCP configuration. This restricts the agent to only the specific functions you want it to perform.

Q: Does this MCP server work with standard CrewAI setups?

You just pass the URL directly into the agent's mcps parameter. It works out of the box with your existing crew structure.

Deploy autonomous research crews with CrewAI using the DOAJ MCP Server to index and manage open-access metadata.

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Connect DOAJ MCP to CrewAI

Create your Vinkius account to connect DOAJ 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 DOAJ with CrewAI

Ask AI about this MCP

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Claude

Perplexity

Autonomous article creation

Assign an agent to use `create_article` for generating records based on your research findings. The agent handles the API calls while you focus on the strategy. Be aware that using an existing DOI will overwrite records. Your crew should check the article status first to avoid unintended changes.

Hierarchical search operations

Use a specialized research agent to run `search_articles` across the database. The results are passed to other agents in your crew for further analysis. This keeps your operations organized. One agent finds the information, while another determines if that information requires a follow-up action.

Bulk metadata management

Deploy a dedicated agent to manage `bulk_create_articles` tasks. It can process large datasets while staying under the 600KB batch limit for optimal performance. This keeps your index current without constant human oversight. Your agents handle the batching and submission, reporting back only when the job is complete.

Setup guide

Set up DOAJ 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 DOAJ tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent DOAJ 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="DOAJ Analyst",
        goal="Access and analyze DOAJ data via MCP.",
        backstory="Expert analyst with direct DOAJ access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent DOAJ 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 DOAJ. 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 DOAJ MCP in CrewAI

Your agents can collaborate to perform a search, review the findings, and then use the result to trigger an article creation in DOAJ.

You use the `tool_filter` in the CrewAI MCP configuration. This restricts the agent to only the specific functions you want it to perform.

You can configure your agent's execution loop to handle errors. If a tool call fails, you can set the agent to re-run the task until it succeeds.

You just pass the URL directly into the agent's `mcps` parameter. It works out of the box with your existing crew structure.

Your metadata passes through the server directly to the DOAJ API. Vinkius operates a zero-trust sandbox, so your data is isolated from other users.

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