vuln-nist-mcp-server

vuln-nist-mcp-server

A Model Context Protocol (MCP) server for querying the NIST National Vulnerability Database (NVD) API, enabling search and retrieval of CVE details, temporal context, and KEV catalog entries.

Category
Visit Server

README

vuln-nist-mcp-server

A Model Context Protocol (MCP) server for querying NIST National Vulnerability Database (NVD) API endpoints.

Purpose

This MCP server exposes tools to query the NVD/CVE REST API and return formatted text results suitable for LLM consumption via the MCP protocol. It includes automatic query chunking for large date ranges and parallel processing for improved performance.

Base API docs: https://nvd.nist.gov/developers/vulnerabilities

Features

Available Tools

  • get_temporal_context - Get current date and temporal context for time-relative queries

    • Essential for queries like "this year", "last year", "6 months ago"
    • Provides current date mappings and examples for date parameter construction
    • USAGE: Call this tool FIRST when user asks time-relative questions
  • search_cves - Search CVE descriptions by keyword with flexible date filtering

    • Parameters: keyword, resultsPerPage (default: 20), startIndex (default: 0), last_days (recent_days has been deprecated), start_date, end_date
    • New in v1.1.0: Support for absolute date ranges with start_date and end_date parameters
    • Date filtering priority: start_date/end_datelast_days → default 30 days
    • Auto-chunks queries > 120 days into parallel requests
    • Results sorted by publication date (newest first)
  • get_cve_by_id - Retrieve detailed information for a specific CVE

    • Parameters: cve_id
    • Returns: CVE details, references, tags, and publication dates
  • cves_by_cpe - List CVEs associated with a Common Platform Enumeration (CPE)

    • Parameters: cpe_name (full CPE 2.3 format required), is_vulnerable (optional)
    • Validates CPE format before querying
  • kevs_between - Find CVEs added to CISA KEV catalog within a date range

    • Parameters: kevStartDate, kevEndDate, resultsPerPage (default: 20), startIndex (default: 0)
    • Auto-chunks queries > 90 days into parallel requests
    • Results sorted by publication date (newest first)
  • cve_change_history - Retrieve change history for CVEs

    • Parameters: cve_id OR (changeStartDate + changeEndDate), resultsPerPage (default: 20), startIndex (default: 0)
    • Auto-chunks date range queries > 120 days into parallel requests
    • Results sorted by change creation date (newest first)

Key Features

  • Temporal Awareness: New get_temporal_context tool for accurate time-relative queries
  • Flexible Date Filtering: Support for both relative (last_days) and absolute (start_date/end_date) date ranges
  • Improved Result Ordering: All results sorted chronologically (newest first) for better relevance
  • Parallel Processing: Large date ranges are automatically split into chunks and processed concurrently
  • Input Validation: CPE format validation, date parsing, parameter sanitization
  • Emoji Indicators: Clear visual feedback (✅ success, ❌ error, ⚠️ warning, 🔍 search, 🔥 KEV, 🌐 CPE, 🕘 history, 📅 temporal)
  • Comprehensive Logging: Detailed stderr logging for debugging
  • Error Handling: Graceful handling of API errors, timeouts, and malformed responses

Prerequisites

  • Docker (recommended) or Python 3.11+
  • Network access to NVD endpoints (services.nvd.nist.gov)
  • MCP-compatible client (e.g., Claude Desktop)

Quick Start

Using Docker (Recommended)

# Clone and build
git clone https://github.com/HaroldFinchIFT/vuln-nist-mcp-server
cd vuln-nist-mcp-server
docker build -t vuln-nist-mcp-server .

# Run
docker run --rm -it vuln-nist-mcp-server

Configuration

Environment variables:

  • NVD_BASE_URL: Base URL for NVD API (default: https://services.nvd.nist.gov/rest/json)
  • NVD_VERSION: API version (default: /2.0)
  • NVD_API_TIMEOUT: Request timeout in seconds (default: 10)

Usage Examples

With Claude Desktop or MCP Client

Get temporal context for time-relative queries:

Tool: get_temporal_context
Params: {}

Search recent CVEs (relative time):

Tool: search_cves
Params: {
  "keyword": "Microsoft Exchange",
  "resultsPerPage": 10,
  "last_days": 7
}

Search CVEs with absolute date range:

Tool: search_cves
Params: {
  "keyword": "buffer overflow",
  "start_date": "2024-01-01T00:00:00",
  "end_date": "2024-03-31T23:59:59"
}

Search CVEs for "this year" (use get_temporal_context first):

# First, get temporal context
Tool: get_temporal_context

# Then use the provided date mappings
Tool: search_cves
Params: {
  "keyword": "remote code execution",
  "start_date": "2025-01-01T00:00:00",
  "end_date": "2025-09-17T12:00:00"
}

Get CVE details:

Tool: get_cve_by_id
Params: {"cve_id": "CVE-2024-21413"}

Check CPE vulnerabilities:

Tool: cves_by_cpe
Params: {
  "cpe_name": "cpe:2.3:a:microsoft:exchange_server:2019:*:*:*:*:*:*:*",
  "is_vulnerable": "true"
}

Find recent KEV additions:

Tool: kevs_between
Params: {
  "kevStartDate": "2024-01-01T00:00:00.000Z",
  "kevEndDate": "2024-03-31T23:59:59.000Z"
}

Performance Notes

  • Queries with date ranges > 90-120 days are automatically chunked for better performance
  • Parallel processing reduces total query time for large date ranges
  • Results are automatically sorted by publication date (newest first) across all chunks

Development

File Structure

vuln-nist-mcp-server/
├── Dockerfile
├── glama.json
├── LICENSE
├── nvd_logo.png
├── README.md
├── requirements.txt
├── SECURITY.md 
└── vuln_nist_mcp_server.py

Security Considerations

  • No API key required (public NVD endpoints)
  • Container runs as non-root user (mcpuser)
  • Input validation prevents injection attacks
  • No persistent storage of sensitive data
  • Network capabilities added only when required via Docker flags

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Test locally
  5. Submit a pull request

License

MIT - see LICENSE file for details

Changelog

v1.1.0

  • NEW: Added get_temporal_context tool for temporal awareness and time-relative queries
  • ENHANCED: search_cves now supports absolute date ranges with start_date and end_date parameters
  • ENHANCED: Improved date filtering logic with priority: absolute dates → relative days → default 30 days
  • ENHANCED: All tools now return results sorted chronologically (newest first) for better relevance
  • IMPROVED: Better error handling for ISO-8601 date parsing
  • DEPRECATED: recent_days parameter in search_cves (use last_days instead)
  • UPDATED: Logo and visual improvements

v1.0.0

  • Initial release
  • Support for all major NVD API endpoints
  • Automatic query chunking and parallel processing
  • CPE format validation
  • Comprehensive error handling

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured