github Python analyzed 952235a

ntaffzii/ai-desk-tools

github

Local MCP server with safe tools for files, Git, browser checks, prompt improvement, skill routing, Notion, Obsidian, RAG, and personal AI workflows.

maintainer
ntaffzii
license
MIT
first seen
2026-06-09
last seen
2026-08-02
releases · 30d
0
short id
risk 59/100 · heuristic grade
C elevated
  • capability exposure inferred + 35
  • tool safety inferred + 24

inferred

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 3m ago · see ecosystem CVEs →

risk trajectory 8 movements
  • C · 47 C · 59
  • C · 42 C · 47
  • C · 47 C · 42
  • B · 34 C · 47
  • B · 24 B · 34
  • B · 34 B · 24
  • C · 46 B · 34
  • C · 50 C · 46
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 5 findings · grade factor +24
  1. high tool shadowing run_command

    tool "run_command" shadows a verified server's tool

    shadows CSOAI-ORG/code-executor-mcp

  2. medium exfiltration combo find_api_files

    single tool reads + sends: fs, net

  3. medium toxic flow (lethal trifecta)

    lethal trifecta reachable across this server's tools: private-data access + untrusted-content ingestion + network exfil

  4. low dangerous code

    env-secret-flows-to-network-py: An environment value (often a secret/token) flows into a network call — possible credential exfiltration. (/scratch/obs-code-mI47Mk/ntaffzii-ai-desk

  5. low exfiltration combo check_github_api_auth

    single tool reads + sends: net, secrets

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:ntaffzii/ai-desk-tools/badge.svg)](https://mcpobservatory.com/servers/github:ntaffzii/ai-desk-tools/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 ntaffzii.