Is an API Key mandatory?

No. The NVD API allows public access without a key. However, using a key increases your rate limit significantly (up to 50 requests per 30 seconds).

What is a CPE string?

CPE (Common Platform Enumeration) is a structured naming scheme for information technology systems, software, and packages (e.g., cpe:2.3:a:microsoft:exchange_server:2019).

How far back can I search for vulnerabilities?

The NVD contains vulnerabilities dating back to the late 1990s. You can search the entire database by ID or keyword.

NIST NVD MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: NIST NVD
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to NIST NVD through the Vinkius — pass the Edge URL in the `mcps` parameter and every NIST NVD tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="NIST NVD Specialist",
    goal="Help users interact with NIST NVD effectively",
    backstory=(
        "You are an expert at leveraging NIST NVD tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in NIST NVD "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About NIST NVD MCP Server

Connect to the National Vulnerability Database (NVD) API through your AI agent and explore the world's most comprehensive archive of cybersecurity vulnerabilities and product data using natural conversation.

When paired with CrewAI, NIST NVD becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call NIST NVD tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

CVE Discovery — Search for Common Vulnerabilities and Exposures (CVEs) by ID, keyword, or specific weakness (CWE).
Product Security — Find all vulnerabilities associated with a specific product or version using its Common Platform Enumeration (CPE) string.
Severity Analysis — Filter vulnerabilities based on their CVSS V3 severity level (Low to Critical) to prioritize risks.
Temporal Tracking — Search for CVEs published or modified within specific date ranges to monitor recent threats.
Product Dictionary — Query the official CPE dictionary by keyword or UUID to identify software and hardware products.
Change History — Retrieve a detailed log of updates and modifications made to the vulnerability database.

The NIST NVD MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect NIST NVD to CrewAI via MCP

Follow these steps to integrate the NIST NVD MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from NIST NVD

Why Use CrewAI with the NIST NVD MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with NIST NVD through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

NIST NVD + CrewAI Use Cases

Practical scenarios where CrewAI combined with the NIST NVD MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries NIST NVD for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries NIST NVD, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain NIST NVD tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries NIST NVD against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

NIST NVD MCP Tools for CrewAI (10)

These 10 tools become available when you connect NIST NVD to CrewAI via MCP:

get_cpe_by_id

Get CPE dictionary entry by UUID

get_cve_by_id

g. CVE-2023-1234). Get CVE details by ID

get_cve_change_history

Retrieve CVE change history

list_cpe_matches

List valid CPE match strings

search_cpe_by_keyword

Search product dictionary by keyword

search_cve_by_cpe

Find CVEs for a product (CPE)

search_cve_by_cwe

g. CWE-89). Find CVEs by weakness (CWE)

search_cve_by_date

Search CVEs by publication date

search_cve_by_keyword

Search CVEs by keyword

search_cve_by_severity

Filter CVEs by severity

Example Prompts for NIST NVD in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with NIST NVD immediately.

"Get the details for CVE-2023-23397."

"Search for vulnerabilities in 'WordPress' with CRITICAL severity."

"What is the official CPE name for 'Windows 11'?"

Troubleshooting NIST NVD MCP Server with CrewAI

Common issues when connecting NIST NVD to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

NIST NVD + CrewAI FAQ

Common questions about integrating NIST NVD MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.