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apify-mcp-server

Connector Data & Analytics Solid

The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.

1,241 starsMIT (commercial OK)FreeNo code needed

Eliminates custom scraping code by integrating 1000+ pre-built extractors into Claude workflows. Reduces time-to-data from weeks to minutes for competitive intelligence, lead generation, and market research.

Data analysts, business intelligence teams, and researchers who need structured data from web sources without maintaining custom crawlers.

Claude Code Claude Cowork Claude Chat

https://github.com/apify/apify-mcp-server

By apify

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add apify-mcp-server -- npx -y apify-mcp-server

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars1,241Last updated2026-05-20LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Active

Discussed on Reddit

9 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 1,241 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 1,241 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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