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I Fixed AI Coding Assistants with Real-Time npm & CVE Data (DevTrends MCP)

I Fixed AI Coding Assistants with Real-Time npm & CVE Data (DevTrends MCP) TL;DR: I built DevTrends MCP — an Apify Actor that injects live npm downloads, GitHub stars, CVE alerts, and job demand into ChatGPT, Claude, or Cursor. Free …

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I Fixed AI Coding Assistants with Real-Time npm & CVE Data (DevTrends MCP)




TL;DR: I built DevTrends MCP — an Apify Actor that injects live npm downloads, GitHub stars, CVE alerts, and job demand into ChatGPT, Claude, or Cursor. Free 1K queries: Try it now










The Problem: AI Recommends Dead Libraries







text
User: "Is lodash still safe in 2025?"
ChatGPT: "Yes, it's widely used and well-maintained."
Reality: lodash had 3 CVEs in 2025, weekly downloads dropped 40%
AI coding tools are frozen in 2023. They don’t know:

Which libs are actively maintained
Which have zero-day vulns
What skills pay the most in 2025

The Fix: DevTrends MCP
An MCP server (Model Context Protocol) that answers:


Query→ OutputIs Express 4.17 safe?CVE list, severity, fix versionReact vs Svelte demand?Job postings, salary ranges, growth %Best auth pattern in Next.js?Community consensus + code snippet
All via official APIs (npm, GitHub, Snyk, Stack Overflow) — no scraping.

Live Demo (Try in ChatGPT)
json{
"query": "Is Tailwind still trending in 2025?",
"tool": "trending_technologies",
"parameters": { "category": "css" }
}
Response in <1s:
json{
"rising": ["Tailwind CSS", "Shadcn/ui"],
"declining": ["Bootstrap"],
"growth_rate": "+180% YoY",
"jobs": "12K+ openings (React + Tailwind)"
}

Built for the Apify $1M Challenge

Free tier: 1,000 queries
MIT licensed
Works in: Cursor, Claude, ChatGPT Custom GPTs
Live: https://apify.com/peghin/devtrends-mcp


Show HN & Early Feedback

Hacker News thread ← replace with your link
Already 50+ queries in first hour


What’s your biggest AI coding pain?

Stale dependency advice?
Not knowing what’s trending?
Vuln blind spots?

Drop a comment — I’ll add your requested feature next week.

Built solo in 48h. Part of Apify’s $1M Developer Challenge


1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - I Fixed AI Coding Assistants with Real-Time npm & CVE Data (DevTrends MCP)
id: 462d9b21-abef-44eb-8e2a-7df5073061b5
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
  - attack.t1190
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "I Fixed AI Coding Assistants w" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("I Fixed AI Coding Assistants with Real-T")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*I Fixed AI Coding Assistants with Real-T*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "I Fixed AI Coding Assistants with Real-T"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph3 Knoten / 2 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Identifiziert: T1190Exploit Public-Facing Application
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich I Fixed AI Coding Assistants with Real-T.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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