MCP Registry

@alfe.ai/connectwise-automate-mcp

c1bea5dc-4be0-5b3e-a689-e6dc355d6ea7 | v0.1.2
35/ 100
LOW risk
Risk verdict
No high-risk signal observed

Score-based assessment (low risk, 35/100). No analyst review available.

Analysis record

Analysed
1 weeks ago
Version
v0.1.2
Artifact
SHA256 14E…218
Source
Findings (non-IoC)

Evidence ledger

Ranked by severity · findings with a source location link to the code viewer

23 detail rows

YARA Rule Matches

7 rules
SeverityRuleHitsFilesMetadata
LOWpostinstall file download 2
dist/server2.cjsdist/server2.js
-
LOWpostinstall crypto operations 2
dist/server2.cjsdist/server2.js
-
LOWpostinstall file manipulation 2
dist/server2.cjsdist/server2.js
-
LOWpostinstall environment access 1
dist/server2.js
-
LOWpostinstall network communication 8
dist/server.d.tsdist/server.d.ctsREADME.md +5 more
-
LOWpostinstall system command 3
README.mddist/server2.cjsdist/server2.js
-
LOWpostinstall persistence mechanism 2
dist/bin.jsdist/bin.cjs
-

Network Indicators

Concrete URLs, domains, IPs, emails, and hashes extracted from the analyzed artifact.

8 total
...

Network indicators are queued for lazy loading

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Finding Categories

8
IoC Indicators

YARA Rules Matched

7 rules(20 hits)
postinstall file download postinstall crypto operations postinstall file manipulation postinstall environment access postinstall network communication postinstall system command postinstall persistence mechanism

MCP Server Analysis

MCP servers expose tools and resources to AI assistants. Unlike browser extensions, they run as standalone processes with direct system access. Tool definitions are analyzed for prompt injection, data exfiltration, and tool poisoning patterns.

Security Analysis Summary

Security Analysis Overview

@alfe.ai/connectwise-automate-mcp is a MCP Servers extension published by kevupton. Version 0.1.2 has been analyzed by the Risky Plugins security platform, receiving a risk score of 34.84/100 (LOW risk) based on 31 security findings.

Risk Assessment

This extension presents low security risk. Some minor findings were detected, but nothing that would prevent typical usage. Reviewing the detailed findings below is recommended before use in sensitive environments.

Findings Breakdown

  • Medium: 8 finding(s)
  • Low: 23 finding(s)

What Was Analyzed

The security assessment covers multiple analysis categories:

  • Malware Detection: YARA rule matching against 2,400+ malware signatures
  • Secret Detection: Scanning for exposed API keys, tokens, and credentials
  • Static Analysis: Code-level security analysis for common vulnerability patterns
  • Network Analysis: Detection of suspicious network communications and endpoints
  • Obfuscation Detection: Identification of code obfuscation techniques

Developer Information

@alfe.ai/connectwise-automate-mcp is published by kevupton on the MCP Servers marketplace.

Recommendation

Exercise caution with this extension. Review the detailed findings and ensure the requested permissions align with the extension's stated functionality before installation.

About This Extension

ConnectWise Automate inventory and monitoring MCP server with Alfe connections

Frequently Asked Questions