A new open-source project called CVE MCP Server is redefining how security teams triage vulnerabilities, transforming Anthropic’s Claude AI into a fully capable security analyst by giving it direct, correlated access to 27 intelligence tools spanning 21 external APIs all through a single natural-language query.
Every security analyst knows the painful reality: triaging even a single CVE can mean opening a dozen browser tabs simultaneously, NVD for CVSS scores, EPSS for exploitation probability, CISA’s Known Exploited Vulnerabilities (KEV) catalog, GitHub for patch status, VirusTotal for malware associations, Shodan for exposed hosts, and more.
Industry data confirms this bottleneck is severe, with EPSS v4 research showing that 96% of CVE alerts that fall below an exploitation threshold go completely uninvestigated due to manual workload alone.
For teams managing 50 or more CVEs simultaneously, that fragmented workflow can consume an entire workday.
Released on GitHub by developer Mahipal (mukul975), CVE MCP Server is a production-grade implementation of Anthropic’s Model Context Protocol (MCP) an open standard that enables seamless integration between LLM applications and external data sources and tools.
The server integrates Claude with 27 security tools organized into five categories: Core Vulnerability Intelligence, Exploit & Attack Intelligence, Advanced Risk & Reporting, Network Intelligence, and Threat Intelligence.
Built with Python, FastMCP, httpx, aiosqlite, Pydantic v2, and defusedxml, the entire stack operates via outbound HTTPS only, no inbound ports, no telemetry, no API keys ever logged.
The tool catalog is extensive and immediately production-ready. Core vulnerability tools include lookup_cve (NVD), get_epss_score (FIRST), check_kev_status (CISA), and bulk_cve_lookup for batch-fetching up to 20 CVEs in parallel.
Exploit intelligence tools map CVEs to MITRE ATT&CK techniques, check PoC availability across GitHub and Exploit-DB, and retrieve CAPEC attack patterns.
Network intelligence layers in AbuseIPDB reputation scoring, GreyNoise scan activity, Shodan host profiling, and CIRCL Passive DNS. Threat intelligence tools connect to VirusTotal, MalwareBazaar, ThreatFox for IOC lookups, and Ransomwhere for ransomware Bitcoin address tracking.
At the heart of the project is a weighted risk scoring formula that moves beyond CVSS-only prioritization, a methodology aligned with the industry shift toward multi-signal triage.
The formula weights EPSS probability at 35%, CISA KEV status at 30%, CVSS at 20%, and PoC availability at 15%, with boost multipliers applied for active KEV+PoC combinations, CVSS ≥ 9.0 with high EPSS, and recently published CVEs.
A score of 76–100 triggers a CRITICAL label requiring patching within 24–48 hours under an emergency change window.
One notable design decision is accessibility: eight tools require zero API keys to function, including EPSS, CISA KEV, OSV.dev, MITRE ATT&CK, CWE lookups, CVSS parsing, Ransomwhere, and NVD at a reduced rate.
Teams can deploy and begin querying immediately, then progressively add Tier 1 keys (NVD, GitHub) for 10× throughput and Tier 2 keys (AbuseIPDB, VirusTotal, GreyNoise, Shodan) for full multi-domain intelligence.
The server also addresses the software supply chain angle with three DevSecOps tools: scan_dependencies queries OSV.dev for vulnerable package versions, scan_github_advisories searches GitHub Security Advisories by ecosystem, and urlscan_check analyzes suspicious URLs.
In a single Claude prompt, a developer can scan an entire requirements.txt and receive prioritized upgrade recommendations.
The CVE MCP Server is available now at github.com/mukul975/cve-mcp-server under an open-source license, with Claude Desktop and Claude Code configuration supported out of the box.
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