ceven

Apify MCP

Triggers web scraping actors to extract live site data, monitors page changes for competitive alerts, and feeds raw web content into your structured databases.

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Why use Ceven?

  1. AI native Apify MCP integration

    • Describe the outcome and Ceven picks the right Apify MCP calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Apify MCP data, across all 8 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Apify MCP access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Apify MCP, when, and on whose behalf.
    • The agent pauses and asks when Apify MCP is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Apify MCP.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Apify MCP action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Apify MCP, and when to use it.

Run actor
Use this when you need to start a specific scraping task or browser automation actor with a custom input payload.
Get actor run output
Pull the resulting dataset from a completed actor run. Use this to fetch the actual scraped data for processing.
List actors
Pull a list of all available actors in your account to identify the right tool for a specific website structure.
Get run status
Check if a scraping task is still running, failed, or succeeded. Use this to gate downstream workflow steps.
Stop actor run
Forcefully terminate a running actor. Use this when a workflow detects a run is hanging or no longer needed.
Get actor details
Pull the configuration and input schema for a specific actor to ensure the correct parameters are passed.
List run history
Pull a list of previous actor runs to compare data trends over time or audit past scraping attempts.
Get dataset items
Fetch specific rows or items from a dataset ID. Use this for paginated access to large scrape results.
Create storage key
Set a key value pair in Apify storage to pass state between different actor runs in a sequence.
Get storage value
Pull a saved value from Apify storage to use as an input for a new browser automation task.
Delete dataset
Remove a dataset from storage to clean up old scrape results and stay within storage limits.
Update actor input
Modify the default settings or parameters for an actor without changing the core code.

12 actions · scroll to see them all

Frequently asked questions

Ceven monitors the run status of every actor it triggers via the MCP server. If an actor returns a failed state, the agent analyzes the error log provided by Apify to determine the cause. If the failure is due to a temporary network issue or a proxy error, Ceven can be configured to retry the run with different proxy settings. If the failure is due to a change in the website structure, the agent will notify the user that the actor input or the actor itself needs an update. This prevents workflows from silently failing and ensures that data gaps are identified immediately.
Yes, as long as the actor is available in your Apify account or the Apify Store. Ceven interacts with the MCP server to send the required input JSON to the actor. Whether it is a pre built scraper for a major platform like Instagram or a custom actor you wrote in JavaScript, Ceven can trigger the run and process the output. You just need to ensure the actor is properly configured in your Apify console first so the agent knows which input fields are required for the task to succeed.
Proxy management happens primarily within the Apify platform, but Ceven can pass proxy configurations through the actor input payload. If you have a specific proxy group defined in Apify for residential or datacenter IPs, you can tell the Ceven agent to specify that group when starting a run. This is critical for avoiding bot detection on high security websites. Ceven does not provide its own proxies; it leverages the powerful proxy infrastructure already built into your Apify subscription to ensure high success rates.
Ceven does not provide Apify compute units. Every actor run triggered by Ceven consumes the compute units associated with your Apify account. If you hit your monthly limit or run out of credits, the Apify MCP server will return an error indicating insufficient funds. You will need to top up your Apify balance or upgrade your plan to resume automation. One specific quirk is that some complex actors use memory and compute at different rates, so a single Ceven workflow that triggers multiple heavy actors can deplete your balance faster than expected.
The data flows from the website to the Apify actor, where it is stored in an Apify dataset. Ceven then uses the MCP server to call the Get dataset items action, which pulls the data as a JSON array. This data is brought into the Ceven workflow context, where the AI agent can filter, summarize, or transform it. Because the data is fetched after the run completes, there is a small latency between the end of the scrape and the availability of the data in your workflow.
Yes, you can use Ceven workflows to create a schedule that triggers the Run actor action at specific intervals. Instead of relying solely on the Apify internal scheduler, doing it through Ceven allows you to add complex logic around the run. For example, you can tell Ceven to run a scraper every morning, but only if a certain condition is met in your CRM, or to send the results to different team members based on the content of the scraped data.
While Apify datasets can hold millions of items, the MCP server and the AI context window have limits. If a dataset is extremely large, Ceven will use pagination to fetch data in chunks. The agent will pull the first few hundred records to analyze the structure, and then you can instruct it to process the rest in batches or filter for specific records. For massive datasets, it is recommended to have the Apify actor filter the data before it reaches Ceven to avoid hitting token limits.
Ceven connects to Apify using an API token that you provide during the integration setup. This token is stored encrypted and is passed in the header of every request made to the MCP server. You can restrict the permissions of this token within the Apify dashboard to ensure that the agent only has access to the specific actors and datasets it needs. If you ever suspect the token is compromised, you can regenerate it in Apify and update it in Ceven to immediately cut off previous access.

Alternatives to Apify MCP

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

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