{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"apify-mcp-server","slug":"apify-mcp-server","name":"Apify MCP Server","type":"mcp","url":"https://github.com/apify/actors-mcp-server","page_url":"https://unfragile.ai/apify-mcp-server","categories":["mcp-servers","automation","research-search"],"tags":["mcp","apify","scraping","web-data","actors","official"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"apify-mcp-server__cap_1","uri":"capability://mcp.servers.overview","name":"overview","description":"apify/actors-mcp-server | DeepWiki \n Loading...\n\n \n Index your code with Devin \n DeepWiki DeepWiki apify/actors-mcp-server \n\n Index your code with \n\n Devin \n Edit Wiki Share \n\n Loading...\n\n \n\n Last indexed: 25 April 2025 ( 4f5e05 )\n\n Overview \n Key Concepts \n System Architecture \n ActorsMcpServer Core \n Transport Mechanisms \n Tool Management \n Deployment Options \n Apify Actor Mode \n Local Stdio Mode \n Using the MCP Server \n Helper Tools Reference \n Integration Examples \n Configuration \n Development \n Building and Testing \n Release Process \n \n\n Menu \n\n Overview \n\n \n Relevant source files \n \n CHANGELOG.md \n\n README.md \n\n package.json \n\n \n \n The Apify Model Context Protocol (MCP) Server is a system that enables AI assistants and applications to access and utilize Apify Actors as tools through the Model Context Protocol. This server acts as a bridge between AI applications (like Claude, VS Code, etc.) and the Apify Platform, allowing AI systems to use Apify's powerful web scraping, data extraction, and automation capabilities without needing direct integration with each Actor.\n\n For detailed information about specific components of the MCP Server, refer to the System Architecture section and for deployment instructions, see the Deployment Options section .\n\n System Purpose and Scope \n\n The Apify MCP Server provides a standardized interface for AI applications to discover and use Apify Actors as tools. It handles:\n\n \n Tool discovery and registration\n\n Schema validation and transfo","intents":[],"best_for":[],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["mcp-servers","automation","research-search"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"apify-mcp-server__cap_2","uri":"capability://mcp.servers.system.architecture","name":"system architecture","description":"System Architecture | apify/actors-mcp-server | DeepWiki \n Loading...\n\n \n Index your code with Devin \n DeepWiki DeepWiki apify/actors-mcp-server \n\n Index your code with \n\n Devin \n Edit Wiki Share \n\n Loading...\n\n \n\n Last indexed: 25 April 2025 ( 4f5e05 )\n\n Overview \n Key Concepts \n System Architecture \n ActorsMcpServer Core \n Transport Mechanisms \n Tool Management \n Deployment Options \n Apify Actor Mode \n Local Stdio Mode \n Using the MCP Server \n Helper Tools Reference \n Integration Examples \n Configuration \n Development \n Building and Testing \n Release Process \n \n\n Menu \n\n System Architecture \n\n \n Relevant source files \n \n CHANGELOG.md \n\n README.md \n\n src/main.ts \n\n src/mcp/const.ts \n\n src/mcp/server.ts \n\n \n \n This document provides a comprehensive overview of the Apify MCP Server architecture, explaining how the system enables AI applications to interact with Apify Actors through the Model Context Protocol (MCP). For information about using the MCP Server, see Using the MCP Server . For deployment options, see Deployment Options .\n\n Overview \n\n The Apify MCP Server system serves as a bridge between AI applications (such as Claude, VS Code's AI extensions, or other MCP clients) and Apify Actors (web scraping and automation tools). It implements the Model Context Protocol to allow AI agents to discover, explore, and execute Apify Actors as tools.\n\n Core Architecture \n\n MCP Server Core Architecture \n\n \n Sources: src/mcp/server.ts 42-267 README.md 9-12 \n\n The core architecture c","intents":[],"best_for":[],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["mcp-servers","automation","research-search"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"apify-mcp-server__cap_3","uri":"capability://mcp.servers.2.1.actorsmcpserver.core","name":"2.1 actorsmcpserver core","description":"ActorsMcpServer Core | apify/actors-mcp-server | DeepWiki \n Loading...\n\n \n Index your code with Devin \n DeepWiki DeepWiki apify/actors-mcp-server \n\n Index your code with \n\n Devin \n Edit Wiki Share \n\n Loading...\n\n \n\n Last indexed: 25 April 2025 ( 4f5e05 )\n\n Overview \n Key Concepts \n System Architecture \n ActorsMcpServer Core \n Transport Mechanisms \n Tool Management \n Deployment Options \n Apify Actor Mode \n Local Stdio Mode \n Using the MCP Server \n Helper Tools Reference \n Integration Examples \n Configuration \n Development \n Building and Testing \n Release Process \n \n\n Menu \n\n ActorsMcpServer Core \n\n \n Relevant source files \n \n src/index.ts \n\n src/mcp/const.ts \n\n src/mcp/server.ts \n\n src/types.ts \n\n \n \n Purpose and Scope \n\n This document details the implementation and functionality of the ActorsMcpServer class, which serves as the central component of the actors-mcp-server system. 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It functions as a bridge between AI clients and the Apify ecosystem, managing a r","intents":[],"best_for":[],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["mcp-servers","automation","research-search"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"apify-mcp-server__headline","uri":"capability://mcp.servers.apify.mcp.server","name":"Apify MCP Server","description":"apify/actors-mcp-server | DeepWiki \n Loading...\n\n \n Index your code with Devin \n DeepWiki DeepWiki apify/actors-mcp-server \n\n Index your code with \n\n Devin \n Edit Wiki Share \n\n Loading...\n\n \n\n Last indexed: 25 April 2025 ( 4f5e05 )\n\n Overview \n Key Concepts \n System Architecture \n ActorsMcpServer Core \n Transport Mechanisms \n Tool Management \n Deployment Options \n Apify Actor Mode \n Local Stdio Mode \n Using the MCP Server \n Helper Tools Reference \n Integration Examples \n Configuration \n Development \n Building and Testing \n Release Process \n \n\n Menu \n\n Overview \n\n \n Relevant source files \n \n CHANGELOG.md \n\n README.md \n\n package.json \n\n \n \n The Apify Model Context Protocol (MCP) Server is a system that enables AI assistants and applications to access and utilize Apify Actors as tools through the Model Context Protocol. 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