Apify MCP Server for Cline 10 tools — connect in under 2 minutes
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Apify through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Apify and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"apify": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Apify MCP Server
Connect your Apify workspace to your AI agent and seamlessly direct full-stack web scraping and data extraction workflows through natural conversation.
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Apify tool calls without waiting for prompts between steps. Connect 10 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
What you can do
- Discover & Run Actors — Browse all scraper bots (Actors) available in your account. Fire them off asynchronously or synchronously for fast, targeted scraping
- Extract Datasets — Pull robust structured data formats out of completed runs. Retrieve detailed JSON records directly into the agent's context window
- Fetch Key-Value Stores — Programmatically read snapshots, cached HTML pages, or screenshots from the Apify Key-Value repositories mapped to a run
- Job Control & Scalability — Stop hanging scraper jobs, queue new dynamic URLs mid-run, or inspect deep usage analytics, compute units, and webhooks limits
The Apify MCP Server exposes 10 tools through the Vinkius. Connect it to Cline in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Apify to Cline via MCP
Follow these steps to integrate the Apify MCP Server with Cline.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
Start using Apify
Ask Cline: "Using Apify, help me...". 10 tools available
Why Use Cline with the Apify MCP Server
Cline provides unique advantages when paired with Apify through the Model Context Protocol.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Apify + Cline Use Cases
Practical scenarios where Cline combined with the Apify MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Apify and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Apify tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Apify and generates snapshot tests or mocks based on actual payloads
Incident response: query Apify for real-time status and let Cline generate hotfix patches based on the findings
Apify MCP Tools for Cline (10)
These 10 tools become available when you connect Apify to Cline via MCP:
abort_run
Any data already scraped and pushed to the dataset is preserved. The run status changes to ABORTED. Use this to stop runaway scrapes or when sufficient data has been collected. Graceful shutdown depends on the actor implementation. Abort an active Apify actor run
get_account_limits
Essential for monitoring consumption and avoiding overage charges. Check Apify account subscription limits and compute unit usage
get_dataset_items
The datasetId is found in the run object (defaultDatasetId). Supports pagination via limit (max items per page) and offset (starting position). Returns an array of JSON objects containing the scraped data fields. Use limit=1000 for bulk downloads. Export structured JSON data from an Apify dataset
get_key_value_store
Key-value stores hold arbitrary data like screenshots (OUTPUT), configuration files, or intermediate results. The storeId comes from the run object (defaultKeyValueStoreId). Common keys include "OUTPUT", "INPUT", and "SCREENSHOT". Retrieve an item from an Apify actor key-value store
get_run
Poll this endpoint to track long-running scrapes. Check the status and metadata of a specific Apify actor run
list_actors
Includes owned actors and those from the Apify Store that have been saved. Each entry contains the actorId, name, description, and default run configuration. Use the actorId to trigger runs. List all accessible actors in the Apify account
list_webhooks
RUN.SUCCEEDED, ACTOR.RUN.FAILED), target URLs, and associated actor IDs. Webhooks enable event-driven architectures by notifying external systems when actor runs complete or fail. List all configured webhooks in the Apify account
push_to_queue
Pass the queueId (from the run object) and a JSON string array of request objects, e.g., [{"url":"https://...","uniqueKey":"..."}]. This enables dynamic crawling where new pages are discovered and added during execution. Dynamically push new URLs to an active Apify request queue
run_actor
Pass the actorId (e.g., "apify/web-scraper" or a custom ID) and a JSON string with the input configuration (start URLs, proxy settings, max pages, etc.). Returns immediately with a runId. Use ap.get_run to poll for completion and ap.get_dataset_items to retrieve extracted data. Start an Apify actor asynchronously with custom JSON input
run_actor_sync
run_actor but waits for the actor to finish before returning. The response includes the full run object with defaultDatasetId for immediate data retrieval. Best for short-lived actors (under 5 minutes). For long-running scrapes, use the async ap.run_actor instead. Run an Apify actor and block until completion (synchronous)
Example Prompts for Apify in Cline
Ready-to-use prompts you can give your Cline agent to start working with Apify immediately.
"List all the Apify actors available on my account."
"Verify the status of run 'qKpwH9LgC3r0Xm' and show me its final dataset if finished."
"How are our compute usage limits tracking this current month on Apify?"
Troubleshooting Apify MCP Server with Cline
Common issues when connecting Apify to Cline through the Vinkius, and how to resolve them.
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Apify + Cline FAQ
Common questions about integrating Apify MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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Connect Apify to Cline
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.