AnyCrawl
This MCP server provides web scraping and crawling capabilities through integration with the AnyCrawl API, offering tools for single-page scraping, multi-page crawling with configurable depth and limits, and web search with optional content extraction. Built with TypeScript using FastMCP and featuring dual deployment modes (STDIO for local use and HTTP/SSE for cloud services), it supports multiple scraping engines (Cheerio, Playwright, Puppeteer), various output formats including markdown and JSON with AI-powered structured extraction, and comprehensive crawling strategies with path filtering and async job management. The implementation includes Docker deployment with Nginx proxy for API key-based routing, extensive test coverage with both mocked and real API integration tests, and robust error handling with detailed logging, making it valuable for AI assistants that need reliable web content extraction, research workflows requiring multi-page site analysis, and applications building knowledge bases from web sources.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/any4ai/anycrawl-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve AnyCrawl from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.