Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store β‘
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Apify MCP Server.
titleCallable MCP tool function
readOnlyHintCallable MCP tool function
trueCallable MCP tool function
get-datasetCallable MCP tool function
fetch-actor-detailsCallable MCP tool function
openWorldHintCallable MCP tool function
The Apify Model Context Protocol (MCP) server at mcp.apify.com enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, and any other website using thousands of ready-made scrapers, crawlers, and automation tools from Apify Store. It supports OAuth, allowing you to connect from clients like Claude.ai or Visual Studio Code using just the URL.
π Use the hosted Apify MCP Server!
For the best experience, connect your AI assistant to our hosted server at
https://mcp.apify.com. The hosted server supports the latest features - including output schema inference for structured Actor results - that are not available when running locally via stdio.
β οΈ Legacy SSE transport removed. The
https://mcp.apify.com/sseendpoint has been removed in favor of Streamable HTTP. Migrate your client tohttps://mcp.apify.comβ drop the/ssesuffix from your configuration.
π° The server also supports agentic payments: buy a token from AGI to run any Actor, or pay per-request via direct x402 (Pay Per Event Actors only) or Skyfire.
Apify MCP Server is compatible with Claude Code, Claude.ai, Cursor, VS Code and any client that adheres to the Model Context Protocol.
Check out the MCP clients section for more details or visit the MCP configuration page.

The Apify MCP Server allows an AI assistant to use any Apify Actor as a tool to perform a specific task. For example, it can:
Video tutorial: Integrate 8,000+ Apify Actors and Agents with Claude
You can use the Apify MCP Server in two ways:
HTTPS Endpoint (mcp.apify.com): Connect from your MCP client via OAuth or by including the Authorization: Bearer <APIFY_TOKEN> header in your requests. This is the recommended method for most use cases. Because it supports OAuth, you can connect from clients like Claude.ai or Visual Studio Code using just the URL: https://mcp.apify.com.
https://mcp.apify.com streamable transportStandard Input/Output (stdio): Ideal for local integrations and command-line tools like the Claude for Desktop client.
npx @apify/actors-mcp-server and the APIFY_TOKEN environment variable to your Apify API token.npx @apify/actors-mcp-server --help for more options.You can find detailed instructions for setting up the MCP server in the Apify documentation.
Apify MCP Server is compatible with any MCP client that adheres to the Model Context Protocol, but the level of support for dynamic tool discovery and other features may vary between clients.
To interact with the Apify MCP Server, you can use clients such as Claude Desktop, Visual Studio Code, or Apify Tester MCP Client.
Visit mcp.apify.com to configure the server for your preferred client.

Want to try Apify MCP without any setup?
Check out Apify Tester MCP Client
This interactive, chat-like interface provides an easy way to explore the capabilities of Apify MCP without any local setup. Sign in with your Apify account and start experimenting with web scraping, data extraction, and automation tools!
Or use the MCP bundle file (formerly known as Anthropic Desktop extension file, or DXT) for one-click installation: Apify MCP Server MCPB file
You can pay for Actor runs without an Apify API token using AGI, direct x402, or Skyfire.
mcp.apify.com and api.apify.com β works for any Actor, not just Pay Per Event ones. Recommended for new integrations; see AGI (recommended) below.mcpc (brew install apify/tap/mcpc or npm install -g @apify/mcpc). We use mcpc because it is one of the few MCP clients that supports the latest features and the x402 protocol natively.βΉοΈ Scope: Both direct x402 and Skyfire are limited to Pay Per Event Actors, don't support Standby Actors, and settle per run instead of minting a token.
Actor run costs vary, so both payment methods use a prepaid balance model. The payment flow happens in four steps:
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