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Copy file name to clipboardExpand all lines: sources/platform/actors/publishing/index.mdx
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@@ -72,7 +72,7 @@ Ensure periodic testing, either manually or by [setting up automatic testing](..
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To find ideas for new Actor, consider the following sources:
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- Your own experiences with friends, colleagues, and customers
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- SEO tools to identify search terms, websites related to web scrapint, web automation, or web integrations (check the [SEO article](https://apify.notion.site/SEO-990259fe88a84fd0a85ce6d3b394d8c1) for more details)
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- SEO tools to identify search terms, websites related to web scrapint, web automation, or web integrations (see the [SEO article](https://apify.notion.site/SEO-990259fe88a84fd0a85ce6d3b394d8c1) for more details)
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- The [Actor ideas page](https://apify.com/ideas) to find Actors in demand by the Apify community
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- Our [Discord community](https://discord.com/invite/jyEM2PRvMU), especially the [#hire-freelancers](https://discord.com/channels/801163717915574323/1022804760484659210) channel can offer great insights
Copy file name to clipboardExpand all lines: sources/platform/integrations/ai/mcp.md
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}
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```
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This tells Claude to spawn the Apify MCP Server (via the [Actors MCP Server](https://www.npmjs.com/package/@apify/actors-mcp-server) NPM package with your API token (on the first run, it will download the package automatically).
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This tells Claude to spawn the Apify MCP Server (via the [Actors MCP Server](https://www.npmjs.com/package/@apify/actors-mcp-server) npm package with your API token (on the first run, it will download the package automatically).
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1. _Launch Claude and connect:_ After updating the config, restart Claude for Desktop. If successful, Claude will show a “plugin” (often indicated by a plug icon 🔌) signifying it connected to the Apify Actors MCP server.
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If you find this project useful, please [star it on GitHub](https://github.com/apify/actors-mcp-server) to show your support!
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-_Authorization (API Token):_ If the MCP server isn’t executing Actors, ensure you provided a correct Apify API token. Without a valid `APIFY_TOKEN`, the server cannot start Actor runs. Always set the `APIFY_TOKEN` environment variable when running locally.
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-_Ensure latest version:_ If running via NPM, always use the latest version of `@apify/actors-mcp-server` for the newest features and fixes. You can append `@latest` when installing or in your config args to ensure this.
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-_Ensure latest version:_ If running via npm, always use the latest version of `@apify/actors-mcp-server` for the newest features and fixes. You can append `@latest` when installing or in your config args to ensure this.
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-_Node.js environment:_ If running the server locally, make sure Node.js is installed and up to date (`node -v`). The MCP server requires Node.js v18+.
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-_No response or long delay:_ Keep in mind that when an Actor tool is called, it may take some time to complete (depending on the task). If nothing is coming back, check the Actor’s logs in Apify console — the Actor might be waiting on a long operation or input.
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## Learn more
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-[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction): Learn about the open standard on the official MCP website – understanding the protocol can help you build custom agents.
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-[Actors MCP Server GitHub](https://github.com/apify/actors-mcp-server): The README for the Apify MCP Server actor (available on Apify Store as `apify/actors-mcp-server`) provides technical details on implementation and advanced usage.
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-[Apify Tester MCP Client](https://apify.com/jiri.spilka/tester-mcp-client): A specialized client actor (`jiri.spilka/tester-mcp-client`) that you can run to simulate an AI agent in your browser. Useful for testing your setup with a chat UI.
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-[Actors MCP Server GitHub](https://github.com/apify/actors-mcp-server): The README for the Apify MCP Server Actor (available on Apify Store as `apify/actors-mcp-server`) provides technical details on implementation and advanced usage.
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-[Apify Tester MCP Client](https://apify.com/jiri.spilka/tester-mcp-client): A specialized client Actor (`jiri.spilka/tester-mcp-client`) that you can run to simulate an AI agent in your browser. Useful for testing your setup with a chat UI.
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-[How to use MCP with Apify Actors](https://blog.apify.com/how-to-use-mcp/): Learn how to expose over 5,000 Apify Actors to AI agents with Claude and LangGraph, and configure MCP clients and servers.
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-[Apify MCP Server Tutorial](https://www.youtube.com/watch?v=BKu8H91uCTg): Integrate thousands of Apify Actors and Agents with Claude.
Copy file name to clipboardExpand all lines: sources/platform/integrations/workflows-and-notifications/gumloop/youtube.md
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The Gumloop YouTube integration provides a native interface for running Apify’s YouTube scrapers directly in your workflows. No API keys or manual polling required. All you need is a Gumloop account.
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Using the Gumloop YouTube MCP node, you can simply prompt the YouTube data you need and Gumloop will retrieve it from relevant Apify actors. From there, you can connect it to your favorite tools and AI agents to process the information.
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Using the Gumloop YouTube MCP node, you can simply prompt the YouTube data you need and Gumloop will retrieve it from relevant Apify Actors. From there, you can connect it to your favorite tools and AI agents to process the information.
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