cybersecurity-vuln-mcp
Servidor MCP de Inteligencia sobre Vulnerabilidades de Ciberseguridad
Inteligencia de vulnerabilidades unificada de 4 fuentes de datos gubernamentales en un único servidor MCP. Obtenga búsquedas de CVE enriquecidas con puntuaciones CVSS, estado de explotación activa, probabilidad de explotación y técnicas ATT&CK en una sola llamada.
Fuente | Qué proporciona | Frecuencia de actualización |
NIST NVD 2.0 | Detalles de CVE, puntuaciones CVSS, descripciones, referencias, clasificaciones CWE | Continua |
CISA KEV | Catálogo de vulnerabilidades explotadas activamente, plazos de remediación | Diaria |
FIRST.org EPSS | Puntuaciones de probabilidad de explotación (0-1) que predicen la probabilidad de explotación en los próximos 30 días | Diaria |
MITRE ATT&CK | Técnicas de adversarios mapeadas a CVEs | Trimestral |
Herramientas
vuln_lookup_cve — Búsqueda enriquecida de CVE
La función estrella. Busque cualquier CVE y obtenga inteligencia de las 4 fuentes en una sola llamada.
Entrada:
{ cveId: "CVE-2021-44228" }Retorno: Detalles de NVD + puntuación CVSS + estado de explotación KEV + probabilidad EPSS + técnicas ATT&CK
vuln_search — Buscar CVEs
Busque en el NVD por palabra clave, gravedad y rango de fechas. Opcionalmente, filtre solo por vulnerabilidades explotadas activamente (KEV).
Entrada:
{ keyword: "apache log4j", severity: "CRITICAL", hasKev: true, limit: 20 }
vuln_kev_latest — Vulnerabilidades explotadas recientemente
Obtenga vulnerabilidades añadidas recientemente al catálogo de Vulnerabilidades Explotadas Conocidas (KEV) de CISA.
Entrada:
{ days: 7, limit: 20 }
vuln_kev_due_soon — Próximos plazos de remediación
Obtenga entradas de KEV con plazos de remediación próximos. Crítico para el cumplimiento federal.
Entrada:
{ days: 14, limit: 20 }
vuln_epss_top — Mayor probabilidad de explotación
Obtenga los CVE con mayor probabilidad de ser explotados en los próximos 30 días según el modelo de aprendizaje automático EPSS.
Entrada:
{ threshold: 0.7, limit: 20 }
vuln_trending — CVEs críticos publicados recientemente
Obtenga CVEs de gravedad alta/crítica publicados recientemente desde el NVD.
Entrada:
{ days: 3, severity: "CRITICAL", limit: 20 }
vuln_by_vendor — Evaluación de vulnerabilidades por proveedor
Busque CVEs para un proveedor/producto específico. Realiza referencias cruzadas con CISA KEV para marcar problemas explotados activamente.
Entrada:
{ vendor: "microsoft", product: "windows", limit: 20 }
Related MCP server: NVD MCP Server
Casos de uso
Triaje de vulnerabilidades: Busque un CVE y sepa al instante si está siendo explotado activamente, su puntuación EPSS y qué técnicas ATT&CK se aplican
Priorización de parches: Combine el estado KEV + puntuaciones EPSS para priorizar la remediación
Seguimiento de cumplimiento: Monitoree los próximos plazos de remediación de CISA KEV
Inteligencia de amenazas: Rastree CVEs en tendencia y vulnerabilidades recién armadas
Evaluación de riesgos de proveedores: Evalúe la exposición a vulnerabilidades y el estado de explotación activa de un proveedor
Inicio rápido
Glama (alojado)
Instale desde Glama.ai.
Apify (alojado)
{
"mcpServers": {
"cybersecurity": {
"url": "https://cybersecurity-vuln-mcp.apify.actor/mcp"
}
}
}Claude Desktop / Claude Code
{
"mcpServers": {
"cybersecurity": {
"command": "node",
"args": ["path/to/servers/cybersecurity-vuln-mcp/dist/stdio.js"],
"env": {
"NVD_API_KEY": "your-key-here"
}
}
}
}Local (stdio)
git clone https://github.com/martc03/gov-mcp-servers.git
cd gov-mcp-servers/servers/cybersecurity-vuln-mcp
npm install && npm run build
node dist/stdio.jsVariables de entorno
Variable | Requerido | Descripción |
| No | Clave de API de NVD para límites de tasa más altos (50 req/30s vs 5 req/30s). Regístrese aquí. |
Caché
Fuente de datos | TTL | Notas |
Búsquedas de CVE en NVD | 1 hora | Por CVE |
Catálogo CISA KEV | 2 horas | Catálogo completo |
Puntuaciones EPSS | 24 horas | Por CVE |
Mapeos ATT&CK | Estático | Incluido con el servidor |
Arquitectura
Protocolo: MCP sobre stdio (Glama/local) o HTTP transmitible (Apify)
Runtime: Node.js 18+, TypeScript
Datos: Llamadas directas a la API a fuentes de datos gubernamentales gratuitas, coste cero
Caché: En memoria con TTLs configurables
Otros servidores en este repositorio
Este repositorio contiene 13 servidores MCP para datos del gobierno de EE. UU. Consulte el README de cada servidor para obtener más detalles.
Servidor | Herramientas | Fuentes de datos |
4 | Retiradas NHTSA, retiradas FDA | |
4 | Desastres FEMA, clima NOAA, terremotos USGS | |
4 | SEC EDGAR, quejas CFPB, empleo BLS | |
3 | Boletines de visas, tiempos de espera en fronteras | |
3 | Calidad del aire EPA, ejecuciones hipotecarias HUD | |
4 | Contratos SAM.gov, USAspending | |
4 | PACER, registros judiciales federales | |
4 | Ensayos clínicos NIH, eventos adversos FDA | |
4 | Búsqueda de empresas SEC, recursos SBA | |
4 | Registro Federal, regulations.gov | |
4 | Grants.gov, USAspending | |
4 | Presentaciones SEC, datos de patentes, datos comerciales |
Una puerta de enlace de API REST con 45 puntos finales también está disponible en govdata-api.netlify.app.
Atribución
NVD: Este producto utiliza datos de la API de NVD pero no está respaldado ni certificado por el NVD.
EPSS: Datos proporcionados por FIRST.org (https://www.first.org/epss/).
ATT&CK: Marca registrada de The MITRE Corporation. Licenciado bajo Apache 2.0.
KEV: Catálogo de Vulnerabilidades Explotadas Conocidas de CISA, dominio público del Gobierno de EE. UU.
Desarrollo de servidor MCP personalizado
¿Necesita un servidor MCP personalizado para su negocio? Visite mcpdev.netlify.app o envíe un correo electrónico a codee.mcpdev@gmail.com.
Licencia
MIT
Available Tools
7 toolsvuln_by_vendorBInspect
Search CVEs for a specific vendor/product, cross-referenced with CISA KEV.
| Name | Required | Description | Default |
|---|---|---|---|
| vendor | Yes | Vendor name (e.g., 'microsoft', 'apache') | |
| product | No | Product name (e.g., 'windows', 'log4j') | |
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full behavioral burden. It mentions cross-referencing with KEV but does not disclose side effects, rate limits, error handling, or whether results are limited to KEV entries.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, front-loaded with action and resource, no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is too brief given 3 parameters and no output schema. Missing details on required fields, optional parameter purpose, return format, and cross-reference behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 67% (vendor and product described, limit not). The description adds no extra meaning beyond the schema; limit parameter remains undocumented. Baseline 3 as schema covers most.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool searches for CVEs by vendor/product and cross-references with CISA KEV, which distinguishes it from sibling tools like vuln_search or vuln_lookup_cve.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no explicit guidance on when to use this tool versus alternatives, nor does it mention prerequisites or excluded use cases. Sibling tools are listed but not referenced.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
vuln_epss_topCInspect
Get CVEs with highest EPSS exploitation probability scores.
| Name | Required | Description | Default |
|---|---|---|---|
| threshold | No | Minimum EPSS score (0-1) | |
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavior. It only states the tool retrieves top-scoring CVEs but does not explain the role of threshold and limit parameters, or describe the output format. Important behavioral aspects like pagination or sorting order are omitted.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence. However, its brevity sacrifices necessary detail, making it feel incomplete rather than concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (2 parameters, no output schema), the description is insufficient. It does not explain the return value structure, how the threshold and limit interact, or typical usage. A more complete description would include the output format and the relationship between parameters.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already describes both 'threshold' and 'limit' parameters, but the context indicates only 50% schema description coverage. The description does not add any additional meaning or context for the parameters beyond what is in the schema, failing to compensate for the coverage gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Get CVEs with highest EPSS exploitation probability scores' clearly indicates the tool returns top CVEs ranked by EPSS score. It is a specific verb-resource combination that distinguishes it from sibling tools like vuln_search or vuln_lookup_cve. However, it could be more explicit about the descending order and the inclusion of parameters.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives, such as vuln_search or vuln_by_vendor. There is no mention of prerequisites, limitations, or scenarios where this tool is not appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
vuln_kev_due_soonBInspect
Get CISA KEV vulnerabilities with upcoming remediation deadlines.
| Name | Required | Description | Default |
|---|---|---|---|
| days | No | Deadline within next N days | |
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. Description describes a read operation ('Get') but lacks details on authentication, rate limits, result ordering, pagination, or behavior when no results are found. Minimal behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, no unnecessary words. However, it may be too concise, sacrificing completeness. Structure is fine.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and partial schema coverage, the description is insufficient. Missing information on return format, sorting, or interpretation of 'upcoming remediation deadlines'. Incomplete for effective tool selection.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 50% (days parameter has description, limit does not). The tool description does not add any meaning beyond the schema; it does not explain how 'days' relates to 'due soon' or the role of 'limit'. No enrichment provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool retrieves CISA KEV vulnerabilities with upcoming remediation deadlines. It uses specific verb 'Get' and resource 'CISA KEV vulnerabilities', distinguishing it from siblings like vuln_kev_latest which focuses on latest entries.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for upcoming deadlines but provides no explicit guidance on when to use this tool versus alternatives like vuln_kev_latest or other sister tools. No when-not-to-use or contextual prerequisites are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
vuln_kev_latestBInspect
Get recently added CISA KEV entries (actively exploited vulnerabilities).
| Name | Required | Description | Default |
|---|---|---|---|
| days | No | Look back N days | |
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It correctly indicates a read operation returning vulnerability entries, but lacks details on output format, pagination, or rate limits. The description is adequate but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, concise sentence of 7 words contains all essential information without fluff. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (2 optional params, no output schema), and the description provides a basic understanding. However, it does not explain the return format or pagination behavior (implied by 'limit'), and lacks annotation context. Given the absence of output schema, more detail would help, but the description is minimally functional.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 50% (only 'days' has a description). The tool description does not add any parameter details beyond the schema's 'Look back N days' for 'days' and leaves 'limit' with no semantic explanation. No extra meaning is provided to compensate for the coverage gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Get recently added CISA KEV entries', specifying the verb (Get), resource (CISA KEV entries), and temporal scope (recently added). This distinguishes it from sibling tools like vuln_by_vendor (vendor-specific) or vuln_epss_top (EPSS ranking).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives. While the description implies usage for recent KEV entries, it does not mention exclusions or recommend sibling tools for other cases (e.g., vuln_lookup_cve for specific CVEs).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
vuln_lookup_cveAInspect
Look up a CVE by ID and get enriched intelligence: NVD details (CVSS score, description, references), CISA KEV active exploitation status, EPSS exploitation probability score, and MITRE ATT&CK techniques.
| Name | Required | Description | Default |
|---|---|---|---|
| cveId | Yes | CVE identifier (e.g., CVE-2021-44228) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses that the tool aggregates data from NVD, CISA KEV, EPSS, and MITRE ATT&CK, indicating a read-only operation. Missing details like rate limits or response format, but the description is still informative.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently lists the tool's capabilities without any extraneous words. It is front-loaded with the purpose 'Look up a CVE by ID' and then enumerates sources.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of aggregating multiple intelligence sources, the description covers the key outputs but doesn't detail return structure or potential pagination. Since output schema is absent, a slightly more detailed description of the return format would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides 100% coverage with a clear description and pattern for the cveId parameter. The description does not add additional semantics beyond what the schema already states, so baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool looks up a CVE by ID and returns enriched intelligence from multiple sources (NVD, CISA KEV, EPSS, MITRE ATT&CK). It distinguishes from siblings like vuln_search or vuln_by_vendor by focusing on a single CVE identifier.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Look up a CVE by ID', providing clear context for when to use this tool. However, it does not explicitly mention when not to use it or contrast it with sibling tools, but the context is strong enough.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
vuln_searchBInspect
Search the NIST NVD for CVEs by keyword, severity, and date range.
| Name | Required | Description | Default |
|---|---|---|---|
| keyword | No | Search keyword (e.g., 'apache log4j') | |
| severity | No | CVSS v3.1 severity | |
| pubStartDate | No | Start date ISO format | |
| pubEndDate | No | End date ISO format | |
| hasKev | No | Only show actively exploited CVEs | |
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description does not explicitly state the tool's read-only nature or any side effects. It merely describes the search functionality, leaving behavioral assumptions to the agent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single 12-word sentence that efficiently conveys the core purpose with no redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description does not mention return format, pagination, or how results are ordered. With no output schema, this information is critical for an agent to understand how to use the output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 83% parameter description coverage, so the baseline is 3. The description only mentions three parameters (keyword, severity, date range) without adding new meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool searches the NIST NVD for CVEs by keyword, severity, and date range. It distinguishes itself from siblings like vuln_by_vendor (vendor-specific) and vuln_lookup_cve (single CVE lookup).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus sibling tools like vuln_epss_top or vuln_kev_due_soon. The description lacks any context about alternatives or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
vuln_trendingCInspect
Get recently published critical/high severity CVEs from the NVD.
| Name | Required | Description | Default |
|---|---|---|---|
| days | No | Published within last N days | |
| severity | No | CRITICAL | |
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must fully disclose behavior but only states the basic function. It omits details on rate limits, data freshness, response structure, or whether the operation is read-only.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that conveys the main purpose without extraneous details. However, it could be expanded slightly for clarity without losing conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 3 parameters, no output schema, and no annotations, the description is insufficient. It does not explain return values, pagination, or edge cases, leaving significant gaps for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds no value beyond the input schema. Schema coverage is low (33%), but the description doesn't explain parameter meanings or relationships, such as how 'days' and 'severity' interact.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Get' and the resource 'recently published critical/high severity CVEs from the NVD', effectively conveying the tool's purpose and distinguishing it from siblings like vuln_search. However, it inaccurately restricts severity to critical/high when the parameter allows all levels.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., vuln_by_vendor, vuln_search). The description does not specify contexts where this tool is preferred or when to avoid it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
7 tool updates
v0.1.0- First observed
vuln_by_vendor - First observed
vuln_epss_top - First observed
vuln_kev_due_soon - First observed
vuln_kev_latest - First observed
vuln_lookup_cve - First observed
vuln_search - First observed
vuln_trending
TDQS
Scored across 7 tools
Tools are mostly distinct, with slight overlap between vuln_kev_due_soon and vuln_kev_latest (both KEV-focused but different filters) and between vuln_trending and vuln_epss_top (different criteria for prioritizing CVEs). Descriptions clarify differences.
All tool names follow the pattern vuln_<descriptive_name>, using underscores and consistent noun/verb structure. No mixing of conventions.
7 tools cover the core vulnerability intelligence domain without being excessive. Each tool serves a clear purpose, and the count is well-scoped.
The surface covers search, lookup, trending, exploitation probability, and KEV monitoring comprehensively. Minor gaps exist, such as no tool for patch or fix version information, but overall the set is complete for its informational purpose.
Maintenance
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CVE search, vulnerability database, EPSS exploit prediction, KEV, IP reputation & threat feed.
Search and audit NIST NVD CVEs by keyword, severity, CWE, CISA KEV status, and CPE.
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