Apify MCP Server
v2026.6Apify
Official Apify MCP server (renamed from actors-mcp-server) exposing thousands of Apify Store Actors to AI agents — scrapers for social media, maps, e-commerce, and search. Agents can dynamically discover and run Actors via the @apify/actors-mcp-server package or the hosted OAuth endpoint at mcp.apify.com.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
Platform stability and maturity analysis
Run success sampling across official and community Actors
Tool discovery relevance testing
Rate limiting behavior review
Failure mode and recovery testing
🛡️Security+
Authentication mechanism review
Runtime capability mutation threat modeling
Supply chain analysis of community-published Actors
Token scope and exposure analysis
Execution isolation review
🔒Privacy & Compliance+
Data flow analysis of Actor inputs and outputs
PII handling assessment of common Actor outputs
Data sharing and policy review
Compliance documentation review
👁️Trust & Transparency+
Documentation completeness review
Logging and traceability assessment
Source code and license review
Tool surface documentation review
⚙️Operational Excellence+
Setup complexity assessment
Run latency characterization
Uptime and incident history analysis
Capability breadth assessment
Community activity and adoption analysis
- +Access to thousands of ready-made Apify Store Actors for social media, maps, e-commerce, and search scraping
- +Dynamic tool discovery lets agents find and add the right Actor at runtime
- +Actors run in isolated containers in Apify's cloud, not on the user's machine
- +Hosted OAuth endpoint (mcp.apify.com) and simple local npx setup
- +Full run auditability via the Apify console with logs, inputs, and cost tracking
- +MIT-licensed open source server actively maintained by Apify
- !Actors are community-published code of varying quality and provenance
- !Dynamically added tools mutate the agent's capability surface after initial approval
- !Scraped output frequently contains personal data with GDPR implications and no built-in PII filtering
- !Actor runs consume paid platform credits that an agent can spend autonomously
- !Community Actors can silently break when target websites change
- !Scraped content is untrusted input that may carry prompt injection payloads
Use Case Ratings
research assistant
Excellent for gathering data from platforms that are hard to scrape directly (social media, maps, marketplaces)
data analysis
Actor outputs land in structured datasets that feed analysis pipelines well
content creation
Strong for trend, competitor, and audience research feeding content workflows
customer support
Limited fit; can monitor reviews and social mentions but is not a support tool
financial analysis
Useful for alternative data collection (e-commerce prices, reviews); verify data quality and licensing
legal compliance
Scraping personal data raises GDPR and terms-of-service questions requiring careful legal review
education
Good for teaching data collection concepts, though paid credits and ToS limits apply