NIST NVD MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NIST NVD as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to NIST NVD. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in NIST NVD?"
)
print(response)
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.
LlamaIndex agents combine NIST NVD tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the NIST NVD MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the NIST NVD MCP Server
LlamaIndex provides unique advantages when paired with NIST NVD through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NIST NVD tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NIST NVD tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NIST NVD, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NIST NVD tools were called, what data was returned, and how it influenced the final answer
NIST NVD + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NIST NVD MCP Server delivers measurable value.
Hybrid search: combine NIST NVD real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NIST NVD to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying NIST NVD for fresh data
Analytical workflows: chain NIST NVD queries with LlamaIndex's data connectors to build multi-source analytical reports
NIST NVD MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect NIST NVD to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting NIST NVD to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNIST NVD + LlamaIndex FAQ
Common questions about integrating NIST NVD MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.