How to Use the Apify MCP in CrewAI

Q: How do I filter Apify tools for CrewAI agents?

Use the toolfilter option when initializing the server connection. This restricts the agent to only the functions it needs for its specific role.

Deploy a crew of specialized agents to manage Apify scrapers and process web data at scale.

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Connect Apify MCP to CrewAI

Create your Vinkius account to connect Apify 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 Apify with CrewAI

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Collaborative Apify scraping with CrewAI

Assign one agent to manage `run_actor` while another agent processes the results from `get_dataset_items`. This role-based approach keeps your scraping logic separate from your data analysis. Your crew can handle the full lifecycle. One agent spots the need for more data, another triggers the run, and the third cleans the output.

Retrieve Apify storage items in CrewAI

Access screenshots and config files stored in the key-value store using `get_key_value_store`. Your agents can inspect these files to verify that the scraping process captured the right content. This provides a feedback loop. If the screenshot shows a broken page, the agent can decide to tweak the input parameters and try again.

Stop runaway Apify jobs with CrewAI

Implement an oversight agent that monitors run status with `get_run`. If a job takes too long or uses too many resources, the agent calls `abort_run` to save your account credits. It acts as a safety switch. Your crew keeps the system healthy without you needing to monitor the dashboard manually.

Setup guide

Set up Apify 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 Apify tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Use the tool_filter option when initializing the server connection. This restricts the agent to only the functions it needs for its specific role.

Yes, each agent in the crew can use the tools independently. You can parallelize your scraping tasks across several actor types.

Check the run metadata by asking an agent to list runs or fetch specific run details. You get logs of every action taken by the scrapers.

The MCP Server manages the connection. Your agents use the authorized session provided by Vinkius, keeping your credentials hidden.

All data flows through an ephemeral, zero-trust tunnel. We isolate your scraped JSON records to your session, ensuring no cross-contamination.

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