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Apify MCP Server for VS Code CopilotGive VS Code Copilot instant access to 7 tools to Get Dataset Results, Get Run Details, List Actor Runs, and more

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Ask AI about this App Connector for VS Code Copilot

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The Apify app connector for VS Code Copilot is a standout in the Friends Mcp category — giving your AI agent 7 tools to work with, ready to go from day one.

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Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Apify and 3,400+ MCP Servers from a single visual interface.

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Classic Setup·json
{
  "mcpServers": {
    "apify-extended": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Apify
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IAMAccess control
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 account to any AI agent and simplify how you manage your web scraping, automation actors, and data storage through natural conversation.

GitHub Copilot Agent mode brings Apify data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 7 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Actor Control — List and trigger serverless actors for web scraping and automation directly from your agent.
  • Dataset Retrieval — Fetch the resulting data records (items) from your datasets to analyze or process values via AI.
  • Run Monitoring — Track the history and status of recent actor executions to ensure reliability.
  • Task Management — List and query configured actor tasks to reuse saved scraper settings.
  • Data Insights — Retrieve detailed metadata and logs for specific runs to debug complex automations.
  • Storage Visibility — List all datasets in your account to manage your collected web data.

The Apify MCP Server exposes 7 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Apify tools available for VS Code Copilot

When VS Code Copilot connects to Apify through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, serverless-actors, web-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_dataset_results

Get items from a dataset

get_run_details

Get details for a specific run

list_actor_runs

List recent actor executions

list_actor_tasks

List configured actor tasks

list_actors

List Apify actors

list_datasets

List Apify datasets

run_actor

Trigger an actor run

Connect Apify to VS Code Copilot via MCP

Follow these steps to wire Apify into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using Apify

Ask Copilot: "Using Apify, help me...". 7 tools available

Why Use VS Code Copilot with the Apify MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Apify through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Apify + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Apify MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Apify in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Apify immediately.

01

"List all actors in my Apify account."

02

"Run the 'Instagram Scraper' with input { "hashtags": ["#AI"] }."

03

"Show me the results from dataset 'ds_10293'."

Troubleshooting Apify MCP Server with VS Code Copilot

Common issues when connecting Apify to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Apify + VS Code Copilot FAQ

Common questions about integrating Apify MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.