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Update sources/platform/integrations/ai/mcp.md
Co-authored-by: Michał Olender <[email protected]>
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sources/platform/integrations/ai/mcp.md

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@@ -27,9 +27,10 @@ The _Apify Model Context Protocol (MCP) Server_ allows AI agents and frameworks
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## Prerequisites
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Before you start, make sure you have the following:
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1. **An Apify account:** Sign up for a free Apify account if you don’t have one.
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2. **Apify API Token:** Get your personal API token from the **Integrations** section in [Apify Console](https://console.apify.com/account#/integrations). This token will be used to authorize the MCP server to run Actors on your behalf.
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3. **MCP Client:** You will also need an AI agent or client that supports MCP. This could be Anthropic Claude (Desktop edition), a VS Code extension with MCP support, Apify’s web-based Tester MCP Client, or any custom client implementation. See supported MCP clients in [official documentation](https://modelcontextprotocol.io/clients).
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1. _An Apify account:_ Sign up for a free Apify account if you don’t have one.
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1. _Apify API Token:_ Get your personal API token from the **Integrations** section in [Apify Console](https://console.apify.com/account#/integrations). This token will be used to authorize the MCP server to run Actors on your behalf.
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1. _MCP Client:_ You will also need an AI agent or client that supports MCP. This could be Anthropic Claude (Desktop edition), a VS Code extension with MCP support, Apify’s web-based Tester MCP Client, or any custom client implementation. See supported MCP clients in [official documentation](https://modelcontextprotocol.io/clients).
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## Example Usage (Claude Desktop)
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