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Copy file name to clipboardExpand all lines: sources/platform/integrations/ai/mcp.md
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The _Apify Model Context Protocol (MCP) Server_ allows AI applications to connect to Apify's extensive library of Actors as tools to perform web scraping, data extraction, or other automation tasks in real time.
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## Support and contribution
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The Apify MCP Server is an open-source project. You can report bugs, suggest new features, or ask questions in the [GitHub issues](https://github.com/apify/actors-mcp-server/issues). 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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:::tip Configure MCP Server
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Configure Apify MCP server at [mcp.apify.com](https://mcp.apify.com), select Actors and tools and copy configuration to your MCP client.
-_HTTPS Endpoint_`mcp.apify.com`: Connect your MCP client through OAuth or by including `Authorization: Bearer <APIFY_TOKEN>` header in your requests.
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-`https://mcp.apify.com` for streamable transport (recommended)
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-`https://mcp.apify.com/sse` for SSE transport (legacy)
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-`https://mcp.apify.com` for streamable transport
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-_Standard Input/Output (stdio)_: Ideal for local integrations and command-line tools such as the Claude for Desktop client.
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- Set MCP client server command to `npx @apify/actors-mcp-server` and environment variable `APIFY_TOKEN` to your Apify API token
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- See `npx @apify/actors-mcp-server --help` for more options
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:::tip Run instantly ⚡
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:::tip Quick setup options
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MCP server configuration for other clients: Use https://mcp.apify.com to select Actors and tools, then copy the configuration to your client.
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To install the Apify MCP Server in [Claude for Desktop](https://claude.ai/download) with one click, download and run the latest [Apify MCP Server DXT file](https://github.com/apify/actors-mcp-server/releases/latest/download/actors-mcp-server.dxt)
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Claude Desktop: Download and run the [Apify MCP Server DXT file](https://github.com/apify/actors-mcp-server/releases/latest/download/actors-mcp-server.dxt) for one-click installation.
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The Apify MCP server has a rate limit of _30 requests per second_ per user. If you exceed this limit, you will receive a `429 Too Many Requests` response.
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## Troubleshooting
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## Support and contribution
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The Apify MCP Server is an open-source project.
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You can report bugs, suggest new features, or ask questions in the [GitHub issues](https://github.com/apify/actors-mcp-server/issues).
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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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