NIST NVD MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NIST NVD through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to NIST NVD "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in NIST NVD?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Pydantic AI validates every NIST NVD tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the NIST NVD MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from NIST NVD with type-safe schemas
Why Use Pydantic AI with the NIST NVD MCP Server
Pydantic AI provides unique advantages when paired with NIST NVD through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your NIST NVD integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your NIST NVD connection logic from agent behavior for testable, maintainable code
NIST NVD + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the NIST NVD MCP Server delivers measurable value.
Type-safe data pipelines: query NIST NVD with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple NIST NVD tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query NIST NVD and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock NIST NVD responses and write comprehensive agent tests
NIST NVD MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect NIST NVD to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting NIST NVD to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNIST NVD + Pydantic AI FAQ
Common questions about integrating NIST NVD MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect NIST NVD with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NIST NVD to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.