mcp-shodan
Servidor MCP de Shodan
Un servidor de Protocolo de Contexto de Modelo (MCP) para consultar la API y la CVEDB de Shodan . Este servidor proporciona acceso completo a los servicios de inteligencia y seguridad de red de Shodan, incluyendo reconocimiento de IP, operaciones DNS, rastreo de vulnerabilidades y descubrimiento de dispositivos. Todas las herramientas proporcionan resultados estructurados y formateados para facilitar el análisis y la integración.
Inicio rápido (recomendado)
Instalación mediante herrería
Para instalar Shodan Server para Claude Desktop automáticamente a través de Smithery :
npx -y @smithery/cli install @burtthecoder/mcp-shodan --client claudeInstalación manual
Instalar el servidor globalmente a través de npm:
npm install -g @burtthecoder/mcp-shodanAgregue a su archivo de configuración de Claude Desktop:
{
"mcpServers": {
"shodan": {
"command": "mcp-shodan",
"env": {
"SHODAN_API_KEY": "your-shodan-api-key"
}
}
}
}Ubicación del archivo de configuración:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonVentanas:
%APPDATA%\Claude\claude_desktop_config.json
Reiniciar Claude Desktop
Related MCP server: Shodan-MCP-Server
Configuración alternativa (de la fuente)
Si prefiere ejecutar desde la fuente o necesita modificar el código:
Clonar y construir:
git clone https://github.com/BurtTheCoder/mcp-shodan.git
cd mcp-shodan
npm install
npm run buildAñade a tu configuración de Claude Desktop:
{
"mcpServers": {
"shodan": {
"command": "node",
"args": ["/absolute/path/to/mcp-shodan/build/index.js"],
"env": {
"SHODAN_API_KEY": "your-shodan-api-key"
}
}
}
}Características
Reconocimiento de red : consulta información detallada sobre direcciones IP, incluidos puertos abiertos, servicios y vulnerabilidades
Operaciones de DNS : búsquedas DNS directas e inversas para dominios y direcciones IP
Inteligencia de vulnerabilidades : acceso a la CVEDB de Shodan para obtener información detallada sobre vulnerabilidades, búsquedas de CPE y seguimiento de CVE específicos del producto.
Descubrimiento de dispositivos : busque en la base de datos de Shodan de dispositivos conectados a Internet con filtrado avanzado
Herramientas
1. Herramienta de búsqueda de IP
Nombre:
ip_lookupDescripción: Recupere información completa sobre una dirección IP, incluida la geolocalización, los puertos abiertos, los servicios en ejecución, los certificados SSL, los nombres de host y los detalles del proveedor de la nube si están disponibles.
Parámetros:
ip(obligatorio): dirección IP a buscar
Devoluciones:
Información IP (dirección, organización, ISP, ASN)
Ubicación (país, ciudad, coordenadas)
Servicios (puertos, protocolos, banners)
Detalles del proveedor de la nube (si están disponibles)
Nombres de host y dominios asociados
Etiquetas
2. Herramienta de búsqueda Shodan
Nombre:
shodan_searchDescripción: Busca en la base de datos de dispositivos conectados a Internet de Shodan
Parámetros:
query(obligatoria): consulta de búsqueda de Shodanmax_results(opcional, predeterminado: 10): Número de resultados a devolver
Devoluciones:
Resumen de búsqueda con resultados totales
Estadísticas de distribución por país
Información detallada del dispositivo que incluye:
Información básica (IP, organización, ISP)
Datos de ubicación
Detalles del servicio
Información del servidor web
Nombres de host y dominios asociados
3. Herramienta de búsqueda de CVE
Nombre:
cve_lookupDescripción: Consulta información detallada sobre vulnerabilidades de la CVEDB de Shodan
Parámetros:
cve(obligatorio): identificador CVE en formato CVE-AAAA-NNNNN (p. ej., CVE-2021-44228)
Devoluciones:
Información básica (ID, fecha de publicación, resumen)
Puntuaciones de gravedad:
CVSS v2 y v3 con niveles de gravedad
Probabilidad y clasificación EPSS
Evaluación de impacto:
Estado de KEV
Mitigaciones propuestas
Asociaciones de ransomware
Productos afectados (CPE)
Referencias
4. Herramienta de búsqueda de DNS
Nombre:
dns_lookupDescripción: Resolver nombres de dominio a direcciones IP utilizando el servicio DNS de Shodan
Parámetros:
hostnames(obligatorio): Matriz de nombres de host para resolver
Devoluciones:
Resoluciones DNS que asignan nombres de host a IP
Resumen de búsquedas totales y nombres de host consultados
5. Herramienta de búsqueda inversa de DNS
Nombre:
reverse_dns_lookupDescripción: Realizar búsquedas DNS inversas para encontrar nombres de host asociados con direcciones IP
Parámetros:
ips(obligatorio): Matriz de direcciones IP para buscar
Devoluciones:
Resoluciones DNS inversas que asignan IP a nombres de host
Resumen de búsquedas totales y resultados
6. Herramienta de búsqueda de CPE
Nombre:
cpe_lookupDescripción: Busque entradas de Enumeración de plataforma común (CPE) por nombre de producto
Parámetros:
product(obligatorio): Nombre del producto a buscarcount(opcional, predeterminado: falso): si es verdadero, devuelve solo el recuento de CPE coincidentesskip(opcional, predeterminado: 0): Número de CPE a omitir (para paginación)limit(opcional, predeterminado: 1000): número máximo de CPE a devolver
Devoluciones:
Cuando el recuento es verdadero: Número total de CPE coincidentes
Cuando el recuento es falso: Lista de CPE con detalles de paginación
7. Herramienta de CVEs por producto
Nombre:
cves_by_productDescripción: Búsqueda de vulnerabilidades que afecten a productos o CPE específicos
Parámetros:
cpe23(opcional): identificador CPE 2.3 (formato: cpe:2.3:parte:proveedor:producto:versión)product(opcional): Nombre del producto en el que se buscarán CVEcount(opcional, valor predeterminado: falso): si es verdadero, devuelve solo el recuento de CVE coincidentesis_kev(opcional, valor predeterminado: falso): si es verdadero, devuelve solo CVE con el indicador KEV establecidosort_by_epss(opcional, predeterminado: falso): si es verdadero, ordena los CVE por puntuación EPSSskip(opcional, predeterminado: 0): Número de CVE a omitir (para paginación)limit(opcional, predeterminado: 1000): número máximo de CVE a devolverstart_date(opcional): Fecha de inicio para filtrar CVE (formato: AAAA-MM-DDTHH:MM:SS)end_date(opcional): Fecha de finalización para filtrar CVE (formato: AAAA-MM-DDTHH:MM:SS)
Notas:
Debe proporcionar cpe23 o producto, pero no ambos
El filtrado de fechas utiliza la hora de publicación de los CVE
Devoluciones:
Información de la consulta
Resumen de resultados con detalles de paginación
Información detallada sobre vulnerabilidades que incluye:
Información básica
Puntuaciones de gravedad
Evaluaciones de impacto
Referencias
Requisitos
Node.js (v18 o posterior)
Una clave API de Shodan válida
Solución de problemas
Problemas con la clave API
Si ve errores relacionados con la clave API (por ejemplo, "La solicitud falló con el código de estado 401"):
Verifique su clave API:
Debe ser una clave API de Shodan válida desde la configuración de su cuenta
Asegúrese de que la clave tenga suficientes créditos/permisos para la operación
Compruebe si hay espacios adicionales o comillas alrededor de la clave en la configuración
Verifique que la clave esté configurada correctamente en la variable de entorno SHODAN_API_KEY
Códigos de error comunes:
401 No autorizado: Clave API no válida o autenticación faltante
402 Pago requerido: créditos fuera de consulta
429 Demasiadas solicitudes: Límite de velocidad excedido
Pasos de configuración: a. Obtén tu clave API de la cuenta de Shodan. b. Añádela a tu archivo de configuración.
{ "mcpServers": { "shodan": { "command": "mcp-shodan", "env": { "SHODAN_API_KEY": "your-actual-api-key-here" } } } }c. Guarde el archivo de configuración. d. Reinicie Claude Desktop.
Probando su clave:
Pruebe primero una consulta sencilla (por ejemplo, dns_lookup para "google.com")
Consulta el panel de tu cuenta de Shodan para conocer el estado del crédito
Verifique que la clave funcione directamente con curl:
curl "https://api.shodan.io/dns/resolve?hostnames=google.com&key=your-api-key"
Problemas de carga del módulo
Si ve errores de carga del módulo:
Para la instalación global: utilice la configuración simple que se muestra en Inicio rápido
Para la instalación de origen: asegúrese de estar utilizando Node.js v18 o posterior
Desarrollo
Para ejecutar en modo de desarrollo con recarga en caliente:
npm run devManejo de errores
El servidor incluye un manejo integral de errores para:
Claves API no válidas
Limitación de velocidad
Errores de red
Parámetros de entrada no válidos
Formatos CVE no válidos
Parámetros de búsqueda de CPE no válidos
Formatos de fecha no válidos
Validación de parámetros mutuamente excluyentes
Historial de versiones
v1.0.12: Se agregó búsqueda DNS inversa y se mejoró el formato de salida
v1.0.7: Se agregó la funcionalidad de búsqueda de CVE por producto y se cambió el nombre de la herramienta de vulnerabilidades a cve_lookup
v1.0.6: Se agregó integración con CVEDB para mejorar las búsquedas de CVE y la funcionalidad de búsqueda de CPE
v1.0.0: Versión inicial con funcionalidad principal
Contribuyendo
Bifurcar el repositorio
Crear una rama de características (
git checkout -b feature/amazing-feature)Confirme sus cambios (
git commit -m 'Add amazing feature')Empujar a la rama (
git push origin feature/amazing-feature)Abrir una solicitud de extracción
Licencia
Este proyecto está licenciado bajo la licencia MIT: consulte el archivo de LICENCIA para obtener más detalles.
Available Tools
7 toolscpe_lookupARead-only
Search for Common Platform Enumeration (CPE) entries by product name in Shodan's CVEDB. Supports pagination and can return either full CPE details or just the total count. Useful for identifying specific versions and configurations of software and hardware.
| Name | Required | Description | Default |
|---|---|---|---|
| skip | No | Number of CPEs to skip (for pagination). | |
| count | No | If true, returns only the count of matching CPEs. | |
| limit | No | Maximum number of CPEs to return (max 1000). | |
| product | Yes | The name of the product to search for CPEs. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, and the description adds pagination support and the option to return only a count. These are behavioral traits beyond what annotations provide, with no contradictions.
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 two sentences, front-loaded with the core purpose, followed by key capabilities. Every sentence earns its place with no redundancy.
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?
For a read-only lookup with fully documented parameters and no output schema, the description covers the main behavioral options (pagination, count mode) and a clear use case. It doesn't detail return format, but given the simplicity and annotation coverage, this is adequate.
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 description coverage is 100%, so all four parameters are documented in the schema. The description mentions pagination and count, but these are already covered in the schema descriptions, so it adds minimal semantic value beyond what is structured.
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 specific verb 'Search' and resource 'CPE entries' within 'Shodan's CVEDB'. It distinguishes from the sibling cves_by_product by focusing on CPEs rather than CVEs, and the name reinforces this.
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 a clear use case: 'identifying specific versions and configurations of software and hardware.' However, it does not explicitly mention alternatives or exclusion criteria. The sibling cves_by_product likely covers CVEs, so the contrast is implied but not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
cve_lookupARead-only
Query detailed vulnerability information from Shodan's CVEDB. Returns comprehensive CVE details including CVSS scores (v2/v3), EPSS probability and ranking, KEV status, proposed mitigations, ransomware associations, and affected products (CPEs).
| Name | Required | Description | Default |
|---|---|---|---|
| cve | Yes | The CVE identifier to query (format: CVE-YYYY-NNNNN). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and openWorldHint, covering safety and openness. The description adds substantial behavioral context by listing the specific fields returned (CVSS v2/v3, EPSS, KEV status, mitigations, ransomware associations, CPEs), which goes beyond the annotations and helps the agent set expectations.
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 two sentences with zero fluff. The first sentence front-loads the core purpose, and the second enumerates the key return fields. Every clause 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?
For a single-parameter lookup tool with no output schema, the description adequately covers the return content by listing the major fields. It does not mention error handling or pagination, but given the simplicity and the openWorldHint annotation, the essential information is present. Minor gaps prevent a 5.
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 fully describes the parameter (pattern and description), so schema coverage is 100%. The description does not add new parameter semantics beyond what the schema already provides; it merely reinforces that a CVE ID is needed. With full schema coverage, baseline 3 is appropriate.
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 states a specific verb ('Query') and resource ('detailed vulnerability information from Shodan's CVEDB'), and enumerates the concrete data returned (CVSS, EPSS, KEV, mitigations, ransomware, CPEs). This clearly distinguishes it from siblings like cves_by_product, which likely searches by product.
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 when you have a CVE identifier (the required parameter), but it does not explicitly mention when not to use it or recommend alternatives like cves_by_product for product-based queries. Guidance is implicit rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
cves_by_productARead-only
Search for vulnerabilities affecting specific products or CPEs. Supports filtering by KEV status, sorting by EPSS score, date ranges, and pagination. Can search by product name or CPE 2.3 identifier. Returns detailed vulnerability information including severity scores and impact assessments.
| Name | Required | Description | Default |
|---|---|---|---|
| skip | No | Number of CVEs to skip (for pagination). | |
| count | No | If true, returns only the count of matching CVEs. | |
| cpe23 | No | The CPE version 2.3 identifier (format: cpe:2.3:part:vendor:product:version). | |
| limit | No | Maximum number of CVEs to return (max 1000). | |
| is_kev | No | If true, returns only CVEs with the KEV flag set. | |
| product | No | The name of the product to search for CVEs. | |
| end_date | No | End date for filtering CVEs (format: YYYY-MM-DDTHH:MM:SS). | |
| start_date | No | Start date for filtering CVEs (format: YYYY-MM-DDTHH:MM:SS). | |
| sort_by_epss | No | If true, sorts CVEs by EPSS score in descending order. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the tool is known to be a read-only, broad-scope operation. The description adds value by disclosing the return content ('detailed vulnerability information including severity scores and impact assessments') and mentions pagination support, which goes beyond the annotations. It does not contradict any annotation.
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 two sentences, with the primary purpose front-loaded and the supporting capabilities summarized in the second sentence. It is not overly verbose, though the second sentence packs multiple features into one clause. No extraneous information is present, and the structure is logical.
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 complexity (9 parameters, all with schema descriptions) and the absence of an output schema, the description provides a sufficient overview, including the two search modes (product name vs. CPE identifier) and the return of severity/impact info. It could be more explicit about the relationship between product and cpe23 (e.g., whether they can be combined), but overall it covers the key usage context.
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 description coverage is 100%, so each parameter is already documented in the schema (e.g., skip, count, cpe23, limit, is_kev, product, dates, sort_by_epss). The description adds only a high-level summary (supports filtering by KEV, sorting by EPSS, date ranges, pagination) without adding new semantic detail. This aligns with the baseline of 3 for fully covered schemas.
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 states a specific verb ('Search') and a precise resource ('vulnerabilities affecting specific products or CPEs'), and lists the supported filtering/sorting capabilities. This clearly distinguishes it from sibling tools like cve_lookup (individual CVE lookup) and cpe_lookup (CPE details), making its purpose unambiguous.
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 clearly conveys that this tool is for product/CPE-based vulnerability searches and mentions the search options (by product name or CPE 2.3). However, it does not explicitly state when to prefer this over sibling tools, such as using cve_lookup for a specific CVE or cpe_lookup for CPE metadata. The guidance is implied rather than explicit, so it earns a 3.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
dns_lookupARead-only
Resolve domain names to IP addresses using Shodan's DNS service. Supports batch resolution of multiple hostnames in a single query. Returns IP addresses mapped to their corresponding hostnames.
| Name | Required | Description | Default |
|---|---|---|---|
| hostnames | Yes | List of hostnames to resolve. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, so the description isn't required to state safety. It adds the batch resolution feature and the mapping behavior, which is useful context. No contradictions.
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?
Three sentences, no waste, key purpose first.
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?
For a single-parameter read-only tool with no output schema, the description covers purpose, behavior, and return format adequately. No gaps for an agent to call it correctly.
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 covers the parameter fully (100%). Description adds the 'batch' nuance but essentially repeats the schema's 'list' semantics. Baseline 3 is appropriate.
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?
States a specific verb (Resolve), resource (domain names to IP addresses), and names the service (Shodan's DNS). Implicitly differentiates from reverse_dns_lookup by direction.
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?
Implied usage: if you need to resolve domain names to IPs, this is the tool. But no explicit when-not-to-use or alternatives mentioned. Batch capability is mentioned but not as a selection criterion.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ip_lookupARead-only
Retrieve comprehensive information about an IP address, including geolocation, open ports, running services, SSL certificates, hostnames, and cloud provider details if available. Returns service banners and HTTP server information when present.
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | The IP address to query. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description accurately reflects a read-only lookup operation and adds helpful qualifiers like 'if available' and 'when present.' It does not contradict the readOnlyHint annotation, though it omits potential error or rate-limit behavior.
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 two sentences, free of fluff, and front-loads the core purpose before listing specific return categories.
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?
With no output schema provided, the description usefully enumerates expected return data. It lacks error/edge-case details, but the listed outputs give sufficient context for typical use.
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 already documents the ip parameter as 'The IP address to query,' and the description repeats this without adding format constraints, IPv4/IPv6 guidance, or examples. Schema coverage is effectively complete, so baseline score 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?
Clearly states the tool retrieves comprehensive information about an IP address and enumerates the types of data returned (geolocation, open ports, services, SSL certificates, hostnames, cloud details). This distinguishes it from sibling tools like dns_lookup or 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?
The description makes the tool's scope clear but does not explicitly state when to use it over alternatives such as shodan_search or dns_lookup. Usage guidance is implied rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
reverse_dns_lookupARead-only
Perform reverse DNS lookups to find hostnames associated with IP addresses. Supports batch lookups of multiple IP addresses in a single query. Returns all known hostnames for each IP address, with clear indication when no hostnames are found.
| Name | Required | Description | Default |
|---|---|---|---|
| ips | Yes | List of IP addresses to perform reverse DNS lookup on. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds behavioral context beyond annotations: it supports batch queries, returns all known hostnames per IP, and provides clear indication when none are found. This is useful operational detail that the schema and annotations do not convey.
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?
Two sentences, no filler. The first sentence states the core purpose, the second adds batch and return details. Information is front-loaded and 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?
This is a simple one-parameter tool with a clear return description. The description explains what the tool does, how it handles multiple IPs, and what it returns (hostnames and a not-found indication). Annotations cover read-only and open-world aspects. Nothing essential for correct invocation is missing, even without an output schema.
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 description coverage is 100%, with the ips parameter clearly documented as a list of IP addresses. The description adds no new semantic meaning—'batch lookups' is implied by the array type. Per the baseline rule for high coverage, a 3 is appropriate; the description does not compensate or add value 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 states a specific action (perform reverse DNS lookups), a clear resource (IP addresses), and the expected output (hostnames). It also distinguishes itself from forward DNS lookups by the term 'reverse,' which is reinforced by the sibling dns_lookup. This is unambiguous and not a tautology.
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 IP-to-hostname resolution but does not explicitly contrast with alternatives like dns_lookup or ip_lookup. It mentions batch support, which is a feature, but offers no when-to-use/when-not-to-use guidance. Usage is inferred from the tool name and context rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
shodan_searchBRead-only
Search Shodan's database of internet-connected devices. Returns detailed information about matching devices including services, vulnerabilities, and geographic distribution. Supports advanced search filters and returns country-based statistics.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query for Shodan. | |
| max_results | No | Maximum results to return. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already carry the read-only safety profile (readOnlyHint=true, openWorldHint=true), lowering the burden. The description adds value by specifying what results contain (services, vulnerabilities, geographic distribution, country statistics), but it does not disclose operational traits such as API-key requirements or rate limits that matter for a Shodan-backed search.
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?
Three sentences, front-loaded with the primary purpose. Minor redundancy exists in listing return types twice ('services, vulnerabilities, and geographic distribution' and 'country-based statistics'), but overall there is no wasted verbiage.
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?
With no output schema, the description correctly takes on explaining return content, which it does (services, vulnerabilities, geo distribution). However, it omits operational essentials for a network-scanning API—authentication requirements and result pagination—and offers only vague filter syntax guidance, leaving an agent under-informed for a moderately complex tool.
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 description coverage is 100%, so both query and max_results are already documented. The description adds only a marginal hint that query supports advanced filters, without syntax or examples. This matches the baseline 3 for high-coverage schemas.
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?
States a specific verb+resource ('Search Shodan's database of internet-connected devices') and describes what it returns. It implicitly distinguishes from the lookup siblings (ip_lookup, cve_lookup, etc.) by being a filter/statistics search rather than a single-entity lookup, though this differentiation is not made explicit.
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 mention of 'advanced search filters' and 'country-based statistics' implies this is for broad exploratory searches rather than targeted lookups, but no alternative tool is named and no when-not-to-use conditions are given. An agent must infer the boundary against the six lookup siblings.
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
v1.0.0- Changed
cpe_lookup2 fields changed- added
Input schema / $schemaAdded value: +"http://json-schema.org/draft-07/schema#" - added
Input schema / additionalPropertiesAdded value: +false
- Changed
cve_lookup2 fields changed- added
Input schema / $schemaAdded value: +"http://json-schema.org/draft-07/schema#" - added
Input schema / additionalPropertiesAdded value: +false
- Changed
cves_by_product2 fields changed- added
Input schema / $schemaAdded value: +"http://json-schema.org/draft-07/schema#" - added
Input schema / additionalPropertiesAdded value: +false
- Changed
dns_lookup2 fields changed- added
Input schema / $schemaAdded value: +"http://json-schema.org/draft-07/schema#" - added
Input schema / additionalPropertiesAdded value: +false
- Changed
ip_lookup2 fields changed- added
Input schema / $schemaAdded value: +"http://json-schema.org/draft-07/schema#" - added
Input schema / additionalPropertiesAdded value: +false
- Changed
reverse_dns_lookup2 fields changed- added
Input schema / $schemaAdded value: +"http://json-schema.org/draft-07/schema#" - added
Input schema / additionalPropertiesAdded value: +false
- Changed
shodan_search2 fields changed- added
Input schema / $schemaAdded value: +"http://json-schema.org/draft-07/schema#" - added
Input schema / additionalPropertiesAdded value: +false
7 tool updates
- First observed
cpe_lookup - First observed
cve_lookup - First observed
cves_by_product - First observed
dns_lookup - First observed
ip_lookup - First observed
reverse_dns_lookup - First observed
shodan_search
TDQS
Scored across 7 tools
Most tools are clearly distinct: ip_lookup, shodan_search, dns_lookup, and reverse_dns_lookup each target a different resource. However, cve_lookup and cves_by_product both return vulnerability information, which could cause some confusion despite their different query approaches.
Tool names mostly follow a consistent noun-based pattern (ip_lookup, dns_lookup, cve_lookup, cpe_lookup) with descriptive compound names for searches. The mix of 'lookup' and 'search' verbs is a minor inconsistency, but the pattern is still predictable and readable.
Seven tools is well-scoped for a Shodan-focused server, covering IP intelligence, device search, DNS, and vulnerability data without unnecessary bloat. Each tool serves a distinct purpose within the security research domain.
The tool set covers core Shodan functionality: IP lookup, device search, DNS resolution, and CVE/CPE vulnerability research. Minor gaps exist such as account/API info or network/port-specific queries, but the primary workflows for security research are well covered.
Maintenance
Related MCP Connectors
Shodan InternetDB MCP — wraps Shodan InternetDB (internetdb.shodan.io)
Shodan MCP — wraps the full Shodan REST API (api.shodan.io)
Defensive Shodan search and host intelligence MCP using customer-provided SHODAN_API_KEY for
MCP server for ScanMalware.com URL scanning, malware detection, and analysis.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceA WebSocket server that provides MCP interface for searching and retrieving information about internet-connected devices, IP addresses, DNS data, and CVE vulnerabilities through the Shodan API.3-
- FlicenseNot gradedqualityDmaintenanceThis is a Model Context Protocol (MCP) server that provides access to the Shodan API. It allows you to programmatically query Shodan for information about devices, vulnerabilities, and more.2-
- FlicenseNot gradedqualityDmaintenanceIntegrates Shodan search capabilities into MCP-compatible applications for discovering internet-connected devices. Enables domain searches, IP lookups, and advanced queries to identify exposed services, infrastructure mapping, and security analysis.3-
- FlicenseNot gradedqualityBmaintenancePassive reconnaissance MCP server powered by Shodan, enabling host lookups, search, and DNS queries gated against HackerOne scope snapshots.-
Appeared in Searches
- Information on LinkedIn Business or LinkedIn Advertising
- Information about the VIX (Volatility Index)
- Accessing Clearbit APIs for Company Information and Website Visitor Data
- A guide to finding data in public databases
- How to retrieve information about a device using Microsoft Defender, Intune, and Jamf