# MCP Apify

> Use this tool when you need to manage web scraping tasks, monitor data extraction runs, or retrieve scraped data using natural language commands. It solves problems related to automating data extraction, managing web scraping workflows, and accessing stored data. The tool accepts natural language inputs and outputs scraped data, task status, and other relevant information.

Canonical page: https://skillsregistry.net/skills/fvegah-mcp-apify  
JSON: https://api.skillsregistry.net/v1/skills/fvegah-mcp-apify

## Description

Enables AI assistants to interact with the Apify platform to manage actors, monitor runs, and retrieve scraped data from datasets. It supports natural language commands for executing web scrapers, managing tasks, and accessing key-value stores.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h7qgp929uu)
- **Repository:** <https://github.com/fvegah/mcp-apify>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "fvegah-mcp-apify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fvegah-mcp-apify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fvegah-mcp-apify/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt