MCP Observatory
pypi analyzed 0.1.5

crawl-mcp

v0.1.5
pypi

基于 crawl4ai 和 FastMCP 的 MCP 服务器，提供网页爬取和 AI 分析功能

maintainer
gqy20
license
MIT
first seen
2026-05-25
last seen
2026-05-26
releases · 30d
0
short id
risk 7/100 · heuristic grade
A minimal
  • capability exposureinferred+10
  • trust mitigatorsmixed−3

inferredmixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

graded 15m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 25 → A · 7
capability exposure grade factor +10
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

skills & danger signals pypi-sdist
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed v0.1.5 · analyzer v18 · 6h ago

skills & prompt files 1

  • agent-rulescrawl_mcp-0.1.5/CLAUDE.md
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/pypi:crawl-mcp/badge.svg)](https://mcpobservatory.com/servers/pypi:crawl-mcp/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of gqy20.