Apify MCP Server
Related Servers
Alternatives to Apify MCP Server
No user-submitted related servers found.
Related Servers
AlicenseAqualityAmaintenanceDirect access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.6320MIT
Monocrawl MCPofficial
AlicenseNot gradedqualityCmaintenanceEnables AI agents to retrieve live public data from 70+ platforms — profiles, posts, comments, transcripts, products, prices, reviews, listings, jobs, ads and search results — plus website crawls and live browser sessions through 650+ endpoints in one response format. Includes free cost previews, per-call credit caps, safe retries, refunded failures and scheduled monitoring.16 npm9MIT- FlicenseNot gradedqualityAmaintenanceEnables language models to perform AI-powered web scraping, structured extraction, search, crawling, schema generation, and scheduled monitoring through an integrated web-scraping API.-
- AlicenseAqualityBmaintenanceEnables AI agents to scrape any website by providing tools for JavaScript rendering, antibot bypass, and automatic captcha solving. It supports synchronous, asynchronous, and batch scraping operations with built-in proxy rotation.5207 npm57 PyPIMIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to perform anti-bot web scraping, dynamic SPA rendering, YouTube transcript extraction, and deep OSINT/GEOINT intelligence gathering through 23 integrated tools.-

spidra-mcp-serverofficial
AlicenseAqualityBmaintenanceEnables AI assistants to scrape pages, batch-process URLs, and crawl entire websites with AI-powered extraction.12290 npmMIT
TDQS
Scored across 11 tools
Each tool targets a clearly distinct resource or action, and the descriptions explicitly disambiguate overlaps such as search-actors vs. get-actor-list vs. fetch-actor-details, and call-actor vs. get-actor-run vs. abort-actor-run.
All tool names use a consistent kebab-case verb-noun pattern (e.g., search-actors, fetch-actor-details, get-dataset-items, abort-actor-run), with no mixing of naming conventions.
The 11 tools are well-scoped for an Apify platform integration, covering discovery, inspection, execution, run management, output retrieval, documentation, and issue reporting without bloat.
Core workflows for finding, inspecting, running, and retrieving outputs from Actors are well covered. Minor gaps exist around listing prior runs, datasets, or key-value stores, but most agent tasks can work around these limitations.