greynoise-mcp-server
MCP server for GreyNoise threat intelligence, enabling IP analysis, GNQL queries, tag and vulnerability lookups, and session/pcap retrieval via natural language.
README
MCP Server For GreyNoise
REQUIRES AN ENTERPRISE API KEY
Installation
MCPB (MCP Bundle)
If you use Claude Desktop or another client that supports MCPB bundles, download greynoise-mcp-server.mcpb from the releases page and double-click to install.
For Production/NPX Usage
npx @greynoise/greynoise-mcp-server --help
Sample entry for Claude Desktop:
{
"mcpServers": {
"greynoise": {
"command": "npx",
"args": ["@greynoise/greynoise-mcp-server"],
"env": {
"GREYNOISE_API_KEY": "your-greynoise-api-key"
}
}
}
}
Or for local development:
{
"mcpServers": {
"greynoise": {
"command": "node",
"args": ["/absolute/path/to/greynoise-mcp-server/build/index.js"],
"env": {
"GREYNOISE_API_KEY": "your-greynoise-api-key"
}
}
}
}
For Development
Clone the repo and then npm install && npm run build.
Build System
This project uses tsup for modern bundling:
npm run build: Creates optimized bundle for distributionnpm run build:dev: Development build with source mapsnpm run dev: Watch mode with auto-rebuild
The bundled output includes all core dependencies except Express (for HTTP transport) and dotenv (due to dynamic require limitations).
Transport Options
stdio (Default)
npx @greynoise/greynoise-mcp-server --transport stdio
http
HTTP transport requires Express to be available:
npm install express
node @greynoise/greynoise-mcp-server --transport http
Available Tools
IP Analysis
-
lookup-ip-context - Get detailed context for an IP address including Internet Scanner Intelligence (ISI) and Business Service Intelligence (BSI). Returns classification, tags, scanning activity, HTTP/TLS/SSH fingerprints, geographic info, and more.
-
quick-check-ip - Fast, lightweight check returning just classification and BSI status.
-
multi-ip-check - Check up to 10,000 IP addresses at once. Returns classification, BSI status, and trust level for each IP.
GNQL (GreyNoise Query Language)
-
gnql-query - Search GreyNoise data with GNQL. Returns full IP context results including raw scan data. Supports scroll pagination.
-
gnql-metadata-query - Lightweight GNQL search returning IP metadata without raw scan data. Supports CSV output format.
-
gnql-stats - Get aggregate statistics for GNQL query results (classification breakdown, top organizations, countries, tags, etc).
Recall (Temporal Analysis)
-
gnql-timeseries - Retrieve hourly IP activity records for a time range. Enables temporal analysis of scanning patterns.
-
gnql-timeseries-stats - Get unique IP counts per hour/day over a time range for trend analysis.
Tags
-
get-tag-list - Retrieve the complete list of GreyNoise tags with metadata.
-
search-tags - Search for tags matching a query.
-
get-tag-details - Get comprehensive metadata about a specific tag.
-
get-tag-activity - Get activity data for a tag including trends over time.
-
analyze-tags-activity - Analyze activity patterns across multiple tags.
Vulnerabilities
-
get-trending-vulnerabilities - Get vulnerabilities actively being exploited in the wild.
-
get-cve-details - Get detailed CVE information including GreyNoise exploitation observations.
Sessions (PCAP)
-
get-session - Get full metadata and connection details for a single sensor session by ID.
-
get-session-pcap - Download the raw PCAP capture for a single session. Saves to a temporary file and returns the path.
-
export-sessions-pcap - Export a PCAP file containing packets from multiple sessions matching a time range and optional Lucene query. Saves to a temporary file and returns the path.
Usage Examples
IP Analysis
// Get detailed context for an IP
{ "tool_name": "lookup-ip-context", "parameters": { "ip": "71.6.135.131" } }
// Quick check
{ "tool_name": "quick-check-ip", "parameters": { "ip": "8.8.8.8" } }
// Bulk check
{ "tool_name": "multi-ip-check", "parameters": { "ips": ["8.8.8.8", "1.1.1.1"] } }
GNQL Queries
// Search for malicious IPs seen today
{ "tool_name": "gnql-query", "parameters": { "query": "classification:malicious last_seen:1d", "size": 10 } }
// Lightweight metadata search
{ "tool_name": "gnql-metadata-query", "parameters": { "query": "tags:Mirai", "size": 25 } }
// Get stats for a query
{ "tool_name": "gnql-stats", "parameters": { "query": "classification:malicious", "count": 10 } }
Temporal Analysis (Recall)
// Hourly activity for an IP
{ "tool_name": "gnql-timeseries", "parameters": { "query": "ip:71.6.135.131" } }
// Daily unique IP counts for malicious activity
{ "tool_name": "gnql-timeseries-stats", "parameters": { "query": "classification:malicious", "interval": "day" } }
Sessions
// Get session metadata
{ "tool_name": "get-session", "parameters": { "session_id": "7e98a36cf76f29a020876691892c5f" } }
// Download session PCAP
{ "tool_name": "get-session-pcap", "parameters": { "session_id": "7e98a36cf76f29a020876691892c5f" } }
// Export PCAPs for sessions matching a query
{ "tool_name": "export-sessions-pcap", "parameters": { "start_time": "2026-01-01T00:00:00Z", "end_time": "2026-01-07T23:59:59Z", "query": "destination.port:443", "size": 50 } }
Available Prompts
-
vendor-threat-report - Comprehensive threat report for a vendor technology. Parameters: vendor (required), technology (optional), timeframe 1-90 days (required)
-
ip-threat-analysis - Detailed IP threat analysis with classification, tags, history, and recommendations. Parameters: ip (required), include_related (optional)
-
cve-analysis - CVE analysis including exploitation status and risk assessment. Parameters: cve_id (required), timeframe 1-90 days (optional)
-
emerging-threat-report - Report on emerging threats based on trending activity. Parameters: days (optional: 1/7/30), focus_area (optional)
-
security-posture-assessment - Security posture assessment for an organization's technology stack. Parameters: organization (required), technologies (required), industry (optional)
-
threat-hunting - Threat hunting plan for specific indicators or patterns. Parameters: indicator_type (required: ip/tag/behavior/actor/cve), indicator_value (required), environment (required)
Changelog
See NEWS.md for release notes.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。