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docs: fix broken links (#1986)
Fix broken links, based on Lychee report
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sources/academy/platform/actorization_playbook.mdx

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| Crawl4AI | Open source library | [https://github.com/unclecode/crawl4ai](https://github.com/unclecode/crawl4ai) | [https://apify.com/janbuchar/crawl4ai](https://apify.com/janbuchar/crawl4ai) |
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| Docling | Open source library | [https://github.com/docling-project/docling](https://github.com/docling-project/docling) | https://apify.com/vancura/docling/source-code |
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| Playwright MCP | Open source MCP server | [https://github.com/microsoft/playwright-mcp](https://github.com/microsoft/playwright-mcp) | [https://apify.com/jiri.spilka/playwright-mcp-server](https://apify.com/jiri.spilka/playwright-mcp-server) |
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| Browserbase MCP | SaaS MCP server | [https://www.browserbase.com/](https://www.browserbase.com/) | [https://apify.com/jakub.kopecky/browserbase-mcp-server](https://apify.com/jakub.kopecky/browserbase-mcp-server) |
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| Browserbase MCP | SaaS MCP server | [https://www.browserbase.com/](https://www.browserbase.com/) | [https://apify.com/mcp-servers/browserbase-mcp-server](https://apify.com/mcp-servers/browserbase-mcp-server) |
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### What projects are suitable for Actorization
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sources/platform/integrations/ai/mastra.md

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## What is MCP server
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A [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server exposes specific data sources or tools to agents via a standardized protocol. It acts as a bridge, connecting large language models (LLMs) to external systems like databases, APIs, or local filesystems. Built on a client-server architecture, MCP servers enable secure, real-time interaction, allowing agents to fetch context or execute actions without custom integrations. Think of it as a modular plugin system for agents, simplifying how they access and process data. Apify provides [Actors MCP Server](https://apify.com/apify/actors-mcp-server) to expose [Apify Actors](https://docs.apify.com/platform/actors) from the [Apify Store](https://apify.com/store) as tools via the MCP protocol.
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A [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server exposes specific data sources or tools to agents via a standardized protocol. It acts as a bridge, connecting large language models (LLMs) to external systems like databases, APIs, or local filesystems. Built on a client-server architecture, MCP servers enable secure, real-time interaction, allowing agents to fetch context or execute actions without custom integrations. Think of it as a modular plugin system for agents, simplifying how they access and process data. Apify provides [Actors MCP Server](https://mcp.apify.com/) to expose [Apify Actors](https://docs.apify.com/platform/actors) from the [Apify Store](https://apify.com/store) as tools via the MCP protocol.
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## How to use Apify with Mastra via MCP
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sources/platform/integrations/workflows-and-notifications/n8n/website-content-crawler.md

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Before you begin, make sure you have:
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- An [Apify account](https://console.apify.com/)
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- An [n8n instance](https://docs.n8n.io/getting-started/) (self‑hosted or cloud)
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- An [n8n instance](https://docs.n8n.io/learning-path/) (self‑hosted or cloud)
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## n8n Cloud setup
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