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CVE MCP Server

Security intelligence MCP server that lets Claude look up CVEs, EPSS scores, CISA KEV status, OSV package vulnerabilities, exploit indicators, MITRE mappings, IP reputation, passive DNS, Shodan host data, malware intelligence, URL safety, and risk reports across optional third-party APIs.

by Mahipal Jangra · submitted by oktofeesh1·added 2026-06-06·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://github.com/mukul975/cve-mcp-server/blob/main/README.md, https://github.com/mukul975/cve-mcp-server
Brand
CVE MCP Server
Brand domain
github.com
Safety notes
CVE, CVSS, EPSS, KEV, exploit, PoC, MITRE, package-advisory, malware, and IP-reputation data can be stale, incomplete, provider-specific, or false positive., Treat generated risk scores and vulnerability reports as triage aids, not patch policy, incident-response authority, or compliance evidence by themselves., Some tools can submit or query URLs, IP addresses, domains, file hashes, package names, repository search terms, and exploit indicators against third-party services., Shodan, URLScan, VirusTotal, AbuseIPDB, GreyNoise, CIRCL, GitHub, VulnCheck, NVD, OSV, and other providers may apply rate limits, visibility rules, account terms, and retention policies., Review provider defaults before scanning URLs or infrastructure because some services can expose submitted targets or scan metadata publicly., The project documentation says the server uses outbound HTTPS only and blocks private/internal IP lookups, but users should still avoid unauthorized reconnaissance or sensitive internal target submission.
Privacy notes
Security queries can reveal vulnerable products, internal triage priorities, asset names, IP addresses, domains, URLs, file hashes, package versions, malware interests, and investigation targets to upstream APIs., API keys are loaded from environment variables; keep them scoped, rotated, and out of model transcripts, shell history, and shared configuration files., The implementation initializes a local SQLite cache and rotating audit log, which can retain query parameters, statuses, timings, source results, and security-investigation context., Audit logging redacts fields whose names include key or token, but other query values can still be sensitive and should be protected as security data., The repository license file is Apache-2.0 while the README badge and pyproject classifier currently mention MIT, so verify current licensing before redistribution or commercial reuse.
Author
Mahipal Jangra
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-06

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

15 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup. Have accounts and credentials ready first.

0/5 ready
Account & credentials1Permissions & scopes1Network & hosting315 minutes

Safety & privacy surface

Safety & privacy surface

6 safety and 5 privacy notes across 6 risk areas. Review closely: credentials & tokens, permissions & scopes, third-party handling.

6 areas
  • SafetyThird-party handlingCVE, CVSS, EPSS, KEV, exploit, PoC, MITRE, package-advisory, malware, and IP-reputation data can be stale, incomplete, provider-specific, or false positive.
  • SafetyGeneralTreat generated risk scores and vulnerability reports as triage aids, not patch policy, incident-response authority, or compliance evidence by themselves.
  • SafetyThird-party handlingSome tools can submit or query URLs, IP addresses, domains, file hashes, package names, repository search terms, and exploit indicators against third-party services.
  • SafetyThird-party handlingShodan, URLScan, VirusTotal, AbuseIPDB, GreyNoise, CIRCL, GitHub, VulnCheck, NVD, OSV, and other providers may apply rate limits, visibility rules, account terms, and retention policies.
  • SafetyThird-party handlingReview provider defaults before scanning URLs or infrastructure because some services can expose submitted targets or scan metadata publicly.
  • SafetyPermissions & scopesThe project documentation says the server uses outbound HTTPS only and blocks private/internal IP lookups, but users should still avoid unauthorized reconnaissance or sensitive internal target submission.
  • PrivacyLocal filesSecurity queries can reveal vulnerable products, internal triage priorities, asset names, IP addresses, domains, URLs, file hashes, package versions, malware interests, and investigation targets to upstream APIs.
  • PrivacyCredentials & tokensAPI keys are loaded from environment variables; keep them scoped, rotated, and out of model transcripts, shell history, and shared configuration files.
  • PrivacyData retentionThe implementation initializes a local SQLite cache and rotating audit log, which can retain query parameters, statuses, timings, source results, and security-investigation context.
  • PrivacyCredentials & tokensAudit logging redacts fields whose names include key or token, but other query values can still be sensitive and should be protected as security data.
  • PrivacyLocal filesThe repository license file is Apache-2.0 while the README badge and pyproject classifier currently mention MIT, so verify current licensing before redistribution or commercial reuse.

Safety notes

  • CVE, CVSS, EPSS, KEV, exploit, PoC, MITRE, package-advisory, malware, and IP-reputation data can be stale, incomplete, provider-specific, or false positive.
  • Treat generated risk scores and vulnerability reports as triage aids, not patch policy, incident-response authority, or compliance evidence by themselves.
  • Some tools can submit or query URLs, IP addresses, domains, file hashes, package names, repository search terms, and exploit indicators against third-party services.
  • Shodan, URLScan, VirusTotal, AbuseIPDB, GreyNoise, CIRCL, GitHub, VulnCheck, NVD, OSV, and other providers may apply rate limits, visibility rules, account terms, and retention policies.
  • Review provider defaults before scanning URLs or infrastructure because some services can expose submitted targets or scan metadata publicly.
  • The project documentation says the server uses outbound HTTPS only and blocks private/internal IP lookups, but users should still avoid unauthorized reconnaissance or sensitive internal target submission.

Privacy notes

  • Security queries can reveal vulnerable products, internal triage priorities, asset names, IP addresses, domains, URLs, file hashes, package versions, malware interests, and investigation targets to upstream APIs.
  • API keys are loaded from environment variables; keep them scoped, rotated, and out of model transcripts, shell history, and shared configuration files.
  • The implementation initializes a local SQLite cache and rotating audit log, which can retain query parameters, statuses, timings, source results, and security-investigation context.
  • Audit logging redacts fields whose names include key or token, but other query values can still be sensitive and should be protected as security data.
  • The repository license file is Apache-2.0 while the README badge and pyproject classifier currently mention MIT, so verify current licensing before redistribution or commercial reuse.

Prerequisites

  • Python 3.10 or newer for the source project, or a Python version supported by the currently published package.
  • pip, uv, or another supported Python package installer.
  • Network access to the selected vulnerability, threat-intelligence, and package-advisory APIs.
  • Optional API keys for NVD, GitHub, VulnCheck, AbuseIPDB, VirusTotal, URLScan, Shodan, GreyNoise, or CIRCL Passive DNS when those integrations are needed.
  • Authorization to query the CVEs, packages, domains, IP addresses, URLs, hashes, repositories, and security-investigation targets being analyzed.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
15 minutes
Difficulty
intermediate
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "cve-mcp": {
      "command": "cve-mcp",
      "env": {
        "NVD_API_KEY": "",
        "GITHUB_TOKEN": ""
      }
    }
  }
}

About this resource

Content

CVE MCP Server is a Python Model Context Protocol server for security intelligence and vulnerability triage. It exposes Claude to tools for CVE lookup, NVD search, OSV dependency checks, EPSS scoring, CISA KEV checks, CVSS parsing, vendor-advisory retrieval, exploit and PoC availability checks, MITRE attack mapping, timeline generation, dependency scans, repository secret search, IP reputation, passive DNS, Shodan host lookup, malware-family lookup, URL safety checks, ransomware intelligence, risk scoring, and vulnerability reports.

The server runs over stdio with cve-mcp, uses outbound HTTPS for upstream data sources, and supports optional API keys for higher-rate or provider-specific integrations. Its implementation initializes a SQLite cache and rotating audit log, validates selected inputs, and redacts audit fields whose names include key or token.

Source Review

These sources were reviewed on 2026-06-06. Prefer the live repository, README, PyPI metadata, package metadata, implementation files, environment template, security policy, and license file for current install commands, tool behavior, optional credentials, audit/cache behavior, provider requirements, and licensing.

Features

  • Python package and stdio MCP server launched with cve-mcp.
  • CVE lookup and search through NVD, with optional API key support for higher request limits.
  • EPSS scoring, CISA KEV status checks, CVSS vector parsing, and vendor-advisory lookup workflows.
  • OSV package vulnerability checks, dependency-list scans, container package scans, and GitHub advisory or repository search workflows.
  • Exploit and PoC availability checks, MITRE attack mapping, CVE timeline generation, risk scoring, CVE comparison, and vulnerability report generation.
  • Threat-intelligence workflows for IP reputation, passive DNS, Shodan host data, file-hash intelligence, malware-family lookup, ransomware indicators, and URL safety.
  • Optional provider credentials for NVD, GitHub, VulnCheck, AbuseIPDB, VirusTotal, URLScan, Shodan, GreyNoise, and CIRCL Passive DNS.
  • SQLite cache and rotating audit log paths configurable through environment variables.

Installation

Install the package, then configure your MCP client:

pip install cve-mcp-server
{
  "mcpServers": {
    "cve-mcp": {
      "command": "cve-mcp",
      "env": {
        "NVD_API_KEY": "",
        "GITHUB_TOKEN": "",
        "ABUSEIPDB_KEY": "",
        "VIRUSTOTAL_KEY": "",
        "URLSCAN_KEY": "",
        "SHODAN_KEY": "",
        "GREYNOISE_API_KEY": ""
      }
    }
  }
}

Restart the MCP client, then ask Claude to analyze an approved CVE, package, domain, IP address, file hash, or URL. Add only the provider keys needed for the specific tools you plan to use.

Use Cases

  • Triage a CVE by combining NVD details, EPSS probability, CISA KEV status, exploit availability, and vendor advisory context.
  • Prioritize a backlog of vulnerabilities with transparent source evidence before patch-window planning.
  • Check whether a package and version appears in OSV or GitHub advisory data.
  • Enrich an approved incident-response indicator with IP reputation, passive DNS, malware, ransomware, URL, or file-hash intelligence.
  • Compare multiple CVEs and draft an evidence-backed vulnerability report for human review.
  • Map vulnerability findings to MITRE attack context for security notes or remediation discussions.

Safety and Privacy

Use CVE MCP Server as an intelligence retrieval and prioritization aid, not as a replacement for vendor advisories, asset ownership checks, change-management approval, or incident-response judgment. Security datasets differ by provider, can change quickly, and can contain false positives or stale records.

Queries to third-party services can expose sensitive security context, including assets, vulnerable packages, domains, IP addresses, file hashes, URLs, and investigation focus. Review each provider's terms, visibility defaults, and retention behavior before submitting sensitive targets. Protect the local cache, rotating audit log, environment variables, MCP client configuration, and model conversation history as security data.

The source repository's security notes say the server makes outbound HTTPS requests only, does not open inbound ports, does not log API keys, and blocks private/internal IP lookups. Those controls reduce risk, but they do not replace authorization checks or provider-specific privacy review.

Duplicate Check

Existing MCP content includes security-adjacent entries such as ContrastAPI, Socket, and HexStrike AI. CVE MCP Server is distinct because it covers mukul975/cve-mcp-server, a Python stdio MCP server focused on CVE and threat-intelligence lookup with optional provider keys, local SQLite cache, rotating audit logs, and tools spanning CVE, EPSS, KEV, OSV, exploit signals, MITRE mappings, IP/domain/hash/URL intelligence, risk scoring, and report generation. No matching CVE MCP Server source URL or dedicated entry was found in content/mcp.

Source citations

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How it compares

CVE MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

3 trust signals differ across this comparison (Review status, Source provenance, Submitter).

Field

Security intelligence MCP server that lets Claude look up CVEs, EPSS scores, CISA KEV status, OSV package vulnerabilities, exploit indicators, MITRE mappings, IP reputation, passive DNS, Shodan host data, malware intelligence, URL safety, and risk reports across optional third-party APIs.

Open dossier

49 remote MCP security tools for CVE/KEV/CWE/EPSS lookup, composite CVSS+EPSS+KEV+PoC risk scoring, CVSS v3.x vector parsing, domain/IP/IOC enrichment, dependency and web intelligence checks, MITRE ATLAS AI/ML attacks, and MITRE D3FEND defenses. Anonymous tier available; Pro tier uses an API key.

Open dossier

Offensive-security MCP server from pentest-ai that lets Claude list and run wrapped security tools, plan and install missing tools, launch authorized engagements, run web, recon, API, cloud, AD, credential, vulnerability, mobile, wireless, and LLM-red-team assessments, and retrieve findings, attack chains, reports.

Open dossier

Remote MCP server for analyzing, searching, retrieving, and auditing code from public Git repositories without cloning them into the local workspace.

Open dossier
Next steps
Trust
Review statusDiffersNot reviewedReviewedJSONbored · 2026-04-30Not reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceDiffersSource-backedSubmission linkedImport PRSource-backedSource-backed
SubmitterDiffersoktofeesh1UPinaroktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandContrastAPI logoContrastAPIPentest AI logoPentest AIsearchcode.com logosearchcode.com
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorMahipal JangraUPinar0xStephsearchcode.com
Added2026-06-062026-04-202026-06-062026-06-06
Platforms
Harness
Source repo
Safety notesCVE, CVSS, EPSS, KEV, exploit, PoC, MITRE, package-advisory, malware, and IP-reputation data can be stale, incomplete, provider-specific, or false positive. Treat generated risk scores and vulnerability reports as triage aids, not patch policy, incident-response authority, or compliance evidence by themselves. Some tools can submit or query URLs, IP addresses, domains, file hashes, package names, repository search terms, and exploit indicators against third-party services. Shodan, URLScan, VirusTotal, AbuseIPDB, GreyNoise, CIRCL, GitHub, VulnCheck, NVD, OSV, and other providers may apply rate limits, visibility rules, account terms, and retention policies. Review provider defaults before scanning URLs or infrastructure because some services can expose submitted targets or scan metadata publicly. The project documentation says the server uses outbound HTTPS only and blocks private/internal IP lookups, but users should still avoid unauthorized reconnaissance or sensitive internal target submission.Treat CVE, EPSS, KEV, IOC, and OSINT enrichment as advisory input that still needs security review before acting on it.Pentest AI is offensive security tooling that performs real network and host operations and can run wrapped scanners, fuzzers, password tools, exploit-adjacent probes, and custom HTTP requests. Use only on targets where you have written permission, and keep rules of engagement, exclusions, rate limits, credentials, and scope boundaries in the prompt and engagement record. Prefer intensity=safe, strict_scope=true, and respect_rate_limits=true for real targets; the upstream README notes these safety flags are not all default behavior. Do not call ensure_tools_installed with auto_install=true until the exact tool list and install impact have been reviewed by a human. Authenticated scans should use credential references or approved secret resolvers, not raw passwords, tokens, or session cookies pasted into model context. External tools may create traffic, files, subprocesses, reports, findings databases, caches, and evidence artifacts that require cleanup and retention controls.Searchcode analyzes public repositories through a hosted remote service; do not point it at private repository URLs unless you have a private/enterprise arrangement and have reviewed the current access controls. The service can return code snippets, file contents, symbols, file trees, static-analysis findings, and credential-scan findings from public repositories. Treat tool results as machine-assisted code intelligence. Confirm security findings, complexity claims, and dependency conclusions against the repository before making merge, hiring, acquisition, or incident decisions. Large or repeated repository analysis can create automated traffic to Searchcode; keep agent loops bounded and avoid broad unattended scans.
Privacy notesSecurity queries can reveal vulnerable products, internal triage priorities, asset names, IP addresses, domains, URLs, file hashes, package versions, malware interests, and investigation targets to upstream APIs. API keys are loaded from environment variables; keep them scoped, rotated, and out of model transcripts, shell history, and shared configuration files. The implementation initializes a local SQLite cache and rotating audit log, which can retain query parameters, statuses, timings, source results, and security-investigation context. Audit logging redacts fields whose names include key or token, but other query values can still be sensitive and should be protected as security data. The repository license file is Apache-2.0 while the README badge and pyproject classifier currently mention MIT, so verify current licensing before redistribution or commercial reuse.Queried domains, IPs, dependencies, vulnerabilities, and indicators can reveal investigation targets and may enter model context.Targets, URLs, IPs, domains, credentials references, findings, proofs of concept, screenshots, payloads, request/response data, reports, detection rules, process lists, and tool output can be sent to the MCP client and model. Findings databases, generated reports, SARIF/JUnit/HTML/PDF exports, logs, subprocess output, tool caches, auth profiles, and cloud-sync settings can contain sensitive vulnerabilities and customer data. Prompts and transcripts can disclose live vulnerabilities, exploitable paths, credentials handling, customer infrastructure, or engagement scope. Keep cloud workspace sync, API tokens, LLM provider keys, and generated reports disabled or controlled unless the engagement explicitly allows them.Prompts and tool inputs can reveal which public repositories, symbols, files, dependencies, security concerns, or candidate portfolios a team is investigating. Returned code snippets, findings, file paths, and repository metadata become part of the MCP client transcript and may be processed by the connected model provider. Public code can still contain secrets, personal data, proprietary code accidentally committed upstream, or prompt-injection text. Review returned snippets before forwarding them into other tools or reports. Searchcode's public page says the hosted MCP server is free during beta and does not require signup or an API key; review the live site before production use because pricing and private-code options may change.
Prerequisites
  • Python 3.10 or newer for the source project, or a Python version supported by the currently published package.
  • pip, uv, or another supported Python package installer.
  • Network access to the selected vulnerability, threat-intelligence, and package-advisory APIs.
  • Optional API keys for NVD, GitHub, VulnCheck, AbuseIPDB, VirusTotal, URLScan, Shodan, GreyNoise, or CIRCL Passive DNS when those integrations are needed.
— none listed
  • Python 3.10 or newer and pip, uv, or another supported Python package installer.
  • Written authorization and explicit scope for every target, host, account, user, API, network, or application being tested.
  • A dedicated test environment or engagement workspace for findings, tool output, reports, and installed security tools.
  • Human approval before auto-installing external tools, running active probes, credential tests, authenticated scans, or exploit-chain validation.
  • MCP client with remote Streamable HTTP support, or `mcp-remote` for clients that still need a stdio bridge.
  • Public Git repository URLs or `owner/repo` names for the repositories Claude should inspect.
  • Team agreement that public repository metadata, code snippets, file paths, and static-analysis results may be sent through a hosted third-party MCP service.
  • Client-side policy for whether model-generated findings should be treated as triage hints or reviewed security results.
Install
pip install cve-mcp-server
claude mcp add --transport http contrastapi https://api.contrastcyber.com/mcp/
pip install ptai
claude mcp add searchcode --transport http https://api.searchcode.com/v1/mcp
Config
{
  "mcpServers": {
    "cve-mcp": {
      "command": "cve-mcp",
      "env": {
        "NVD_API_KEY": "",
        "GITHUB_TOKEN": "",
        "VULNCHECK_TOKEN": "",
        "ABUSEIPDB_KEY": "",
        "VIRUSTOTAL_KEY": "",
        "URLSCAN_KEY": "",
        "SHODAN_KEY": "",
        "GREYNOISE_API_KEY": "",
        "CIRCL_PDNS_USER": "",
        "CIRCL_PDNS_PASS": "",
        "CACHE_DB_PATH": "",
        "AUDIT_LOG_PATH": ""
      }
    }
  }
}
{
  "mcpServers": {
    "contrastapi": {
      "url": "https://api.contrastcyber.com/mcp/",
      "type": "http"
    }
  }
}
{
  "mcpServers": {
    "pentest-ai": {
      "command": "ptai",
      "args": ["mcp"],
      "env": {
        "PENTEST_DB_PATH": "<approved-findings-db-path>",
        "PTAI_NON_INTERACTIVE": "1"
      }
    }
  }
}
{
  "mcpServers": {
    "searchcode": {
      "url": "https://api.searchcode.com/v1/mcp"
    }
  }
}
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