npm JavaScript analyzed 3.3.0

@aashari/mcp-server-atlassian-confluence

v3.3.0
npm

Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP in

maintainer
aashari
licence
ISC
first seen
2026-06-01
last seen
2026-09-17
releases · 30d
0
short id
risk 29/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 28
  • supply-chain attested + 6
  • trust mitigators mixed − 5

attested inferred mixed

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.

grade last moved 1w ago · see ecosystem CVEs →

risk trajectory 5 movements
  • C · 36 B · 29
  • C · 51 C · 36
  • C · 44 C · 51
  • B · 22 C · 44
  • A · 1 B · 22
capability exposure grade factor +28
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.

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:aashari/mcp-server-atlassian-confluence/badge.svg)](https://mcpobservatory.com/servers/github:aashari/mcp-server-atlassian-confluence/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 aashari.