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Apify MCP Server vs Cortex

Apify MCP ServerCortex

Bottom line: Apify MCP Server for research and data-extraction agents; Cortex for aPI teams with maintained specifications.

Apify MCP ServerApify MCP Server

Open the Apify Store of 7,000+ scrapers and Actors to AI agents over MCP.

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CortexCortex

Turn API specifications into docs, typed SDKs, and an MCP server

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Votes00
PricingFreemiumFree
CategoryMcpMcp
Tags
mcpweb-scrapingdata-extractionactorsautomation
mcp serverapi documentationsdk generationopenapiopen source
Best for
  • Research and data-extraction agents
  • Teams needing web scraping at scale
  • RAG pipelines needing web content
  • API teams with maintained specifications
  • Teams exposing APIs to agents via MCP
  • Open-source projects needing docs and SDKs
Pros
  • One API key unlocks 7,000+ Actors
  • Dynamic discovery: add Actors as tools mid-conversation
  • Strong web scraping and extraction capabilities
  • Open-source server, self-hostable
  • Aligned with current MCP streamable-HTTP spec
  • MIT licensed with a public repository
  • Generates docs, SDKs, and an MCP server from one spec
  • Supports OpenAPI, AsyncAPI, GraphQL, gRPC, and OpenRPC
  • Eleven SDK output languages
  • Fully self-hostable, deployable anywhere Node runs
Cons
  • Actor usage (compute units) accrues real cost
  • Heavy scraping runs can get expensive
  • Scraping raises legal/ToS considerations
  • Transport/features change (SSE removed April 2026)
  • Best value requires understanding Apify's pricing model
  • Output quality depends entirely on spec quality
  • No hosted service or commercial support
  • Requires a build step in your pipeline
  • No team collaboration features
  • Young project with a small ecosystem

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