# CVE Intelligence MCP - Updated (`red.cars/cve-intelligence-mcp`) Actor CVE vulnerability intelligence for AI agents — NVD data, CVSS scoring, affected software, and vulnerability trend analysis. - **URL**: https://apify.com/red.cars/cve-intelligence-mcp.md - **Developed by:** [AutomateLab](https://apify.com/red.cars) (community) - **Categories:** AI, Agents, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## CVE Intelligence MCP CVE vulnerability intelligence for AI agents — NVD data, CVSS scoring, affected software, and vulnerability trend analysis. --- ### 1. Purpose Statement CVE Intelligence MCP is an MCP (Model Context Protocol) server that gives AI agents direct access to the National Vulnerability Database (NVD) — 348,000+ CVEs with CVSS scores, affected software (CPE), references, and weakness classifications. AI agents performing security research, vulnerability triage, penetration testing, or supply chain risk assessment query CVE details, severity rankings, and vendor advisories without requiring API keys or navigating NVD's interface. **Built for:** AI security researchers triaging vulnerabilities, pentesters looking up CVE impact, developers auditing dependencies, compliance teams assessing exposure, and AI agents doing supply chain security analysis. --- ### 2. Quick Start Add to your MCP client: ```json { "mcpServers": { "cve-intelligence-mcp": { "url": "https://red-cars--cve-intelligence-mcp.apify.actor/mcp" } } } ```` AI agents can now search 348,000+ CVEs, get detailed vulnerability profiles with CVSS scores and affected software, analyze severity trends, and get vendor-specific advisories. *** ### Comparison See how CVE Intelligence MCP compares to manual research: [COMPARISON.md](./COMPARISON.md) *** ### 3. When to Call This MCP Use CVE Intelligence MCP when you need to: - **Look up a specific CVE** — full details including CVSS score, description, affected software, references - **Search vulnerabilities by keyword** — find all CVEs related to a specific product or component - **Get recent vulnerabilities** — stay current with newly published CVEs from the last N days - **Analyze by severity** — get all critical/high CVEs ranked by score for prioritization - **Find vendor advisories** — get all known vulnerabilities affecting a specific vendor's products *** ### 4. What Data Can You Access? | Data Type | Source | Example | |-----------|--------|---------| | CVE profiles | NVD (NIST) | CVE ID, description, status, dates | | CVSS metrics | NVD | v3.1/v3.0/v2.0 scores, severity, vector | | Affected software | NVD CPE | Product, vendor, version ranges | | References | NVD | Vendor advisories, exploitDB, patches | | Weakness types | CWE | CWE classification | *** ### 5. Why Use CVE Intelligence MCP? **The problem:** Researching CVE severity, affected products, and remediation priority requires navigating NVD's web interface or API — which has aggressive rate limits (6 req/min), no batch search, and returns raw JSON that needs significant processing. For security researchers, pentesters, and AI agents doing supply chain analysis, this data is essential for triage and prioritization. Manual CVE research takes hours across NVD, CVE.org, and vendor advisories. **The solution:** AI agents use CVE Intelligence MCP to get instant, structured CVE intelligence — detailed vulnerability profiles with CVSS scoring and affected software lists, severity-ranked vulnerability analysis, recent CVE feeds, and vendor-specific advisories. This is the CVE intelligence layer for AI agents doing security research, penetration testing, and supply chain risk assessment. *** ### 6. Tools #### search\_cves Search NVD CVE database by keyword, severity, or year range. Returns CVE IDs, descriptions, CVSS scores, and affected software. ``` search_cves(query="log4j", severity="CRITICAL", resultsPerPage=10) ``` #### get\_recent\_cves Get recently published CVEs from the last N days. Useful for staying current on emerging vulnerabilities. ``` get_recent_cves(maxResults=10, daysBack=7) ``` #### get\_cve\_details Get detailed information for a specific CVE including full description, CVSS metrics, CPE affected software list, references, and weakness types. ``` get_cve_details(cveId="CVE-2024-3094") ``` #### analyze\_cvss\_scores Analyze CVEs by CVSS score threshold. Returns critical and high severity vulnerabilities ranked by score, useful for prioritizing remediation. ``` analyze_cvss_scores(minScore=7, maxResults=50) ``` #### get\_vendor\_advisories Search CVEs by vendor or product name. Returns all known vulnerabilities affecting products from that vendor. ``` get_vendor_advisories(vendor="apache", product="log4j", maxResults=20) ``` *** ### 7. Pricing | Tool | Price | |------|-------| | search\_cves | $0.03 | | get\_recent\_cves | $0.02 | | get\_cve\_details | $0.02 | | analyze\_cvss\_scores | $0.05 | | get\_vendor\_advisories | $0.03 | All prices in USD per tool call. No API keys required — NVD is fully open. *** ### 8. Setup ``` 1. Clone or download this actor 2. Run: npm install 3. Start: npm start 4. Add to your MCP client using the URL above ``` No API keys required. NVD's public API is freely accessible. # Actor input Schema ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("red.cars/cve-intelligence-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("red.cars/cve-intelligence-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call red.cars/cve-intelligence-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=red.cars/cve-intelligence-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CVE Intelligence MCP - Updated", "description": "CVE vulnerability intelligence for AI agents — NVD data, CVSS scoring, affected software, and vulnerability trend analysis.", "version": "1.0", "x-build-id": "ggVg7gayUjAxu1G6S" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/red.cars~cve-intelligence-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-red.cars-cve-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/red.cars~cve-intelligence-mcp/runs": { "post": { "operationId": "runs-sync-red.cars-cve-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/red.cars~cve-intelligence-mcp/run-sync": { "post": { "operationId": "run-sync-red.cars-cve-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": {} }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```