mcp-greynoise

mcp-greynoise

Enables checking IP addresses against the GreyNoise API to determine if they are internet background noise, known benign services, or potentially targeted threats.

Category
访问服务器

README

mcp-greynoise

npm version License: MIT

MCP server for the GreyNoise API — check if IP addresses are internet background noise or potentially targeted attacks.

Quick Start

npx mcp-greynoise

That's it. Works out of the box with 10 lookups/day (no API key needed).

What is GreyNoise?

GreyNoise collects and analyzes internet-wide scan traffic. It tells you:

  • Noise: Is this IP mass-scanning the internet? (botnets, researchers, crawlers)
  • RIOT: Is this IP a known benign service? (Google, Cloudflare, Microsoft, etc.)
  • Classification: Malicious, benign, or unknown

Why this matters for security

When you see suspicious traffic in your logs:

GreyNoise Result Interpretation
NOISE + Malicious Background attack traffic (scanners, botnets) — likely untargeted
NOISE + Benign Security researchers, search crawlers — usually safe
RIOT Known good service (CDN, DNS, cloud) — almost certainly benign
NOT NOISE ⚠️ This IP is NOT mass-scanning — traffic may be targeted at you

The "NOT NOISE" case is often the most important — it suggests someone is specifically interested in your systems.

Demo

<!-- TODO: Add GIF of Claude Desktop calling check_ip -->

Example output from check_ip:

IP: 51.91.185.74
Classification: MALICIOUS
Noise: YES - This IP has been observed scanning the internet
RIOT: NO - Not a known benign service IP
Last Seen: 2024-01-15
Details: https://viz.greynoise.io/ip/51.91.185.74

--- Interpretation ---
🚨 This IP is actively scanning the internet and classified as MALICIOUS. 
   Likely a scanner, botnet, or threat actor.

Installation

npm (recommended)

npm install -g mcp-greynoise

npx (no install)

npx mcp-greynoise

From source

git clone https://github.com/nickjlucker/mcp-greynoise.git
cd mcp-greynoise
npm install
npm run build
node build/index.js

Configuration

Claude Desktop

Add to your claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "greynoise": {
      "command": "npx",
      "args": ["mcp-greynoise"],
      "env": {
        "GREYNOISE_API_KEY": "your-api-key-here"
      }
    }
  }
}

Environment Variables

Variable Required Description
GREYNOISE_API_KEY No API key for higher rate limits (50/day vs 10/day)

Get a free API key at viz.greynoise.io/signup.

⚠️ Never commit API keys. See .env.example for the recommended setup.

Tools

check_ip

Check a single IP address against GreyNoise.

Input:

  • ip (string): IPv4 address to check

check_ips

Check multiple IP addresses in one call (max 10).

Input:

  • ips (string[]): Array of IPv4 addresses

Example output:

=== Results ===
8.8.8.8: RIOT (benign service) [Google]
51.91.185.74: NOISE - MALICIOUS
192.168.1.1: NOT NOISE (potentially targeted)

--- Legend ---
RIOT: Known benign service (CDN, DNS, etc.)
NOISE: IP is mass-scanning the internet
NOT NOISE: IP is NOT mass-scanning (traffic may be targeted)

Resources

greynoise://status

Returns API status and rate limit information.

Rate Limits

Tier Daily Lookups
Unauthenticated 10
Free account 50
Paid plans Higher

Rate limits are shared between API calls and the GreyNoise Visualizer.

Security

This server:

  • Only reads from the GreyNoise API (no scanning, no exploitation)
  • Does not store any data beyond the current request
  • Does not transmit your API key anywhere except to GreyNoise
  • Performs reputation/telemetry enrichment only

Your API key is passed via environment variable and never logged.

Use Cases

  • SOC Triage: Quickly determine if alert IPs are background noise or targeted
  • Incident Response: Identify if attacker IPs are mass-scanners or focused threats
  • Threat Hunting: Find IPs in your logs that aren't mass-scanners (potentially targeted)
  • Log Analysis: Reduce false positives by filtering out known scanners

Development

# Install dependencies
npm install

# Run in development mode
npm run dev

# Build for production
npm run build

# Run built version
npm start

License

MIT

Links

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