Action1 MCP by usefulapi
Read endpoints, missing updates, CVE vulnerabilities, installed software and reports in Action1.
Descripción del creador (original en inglés)
AI agent tools for Open Security Controls Assessment Language (OSCAL)
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
BEDROCK_MODEL_ID, OSCAL_KB_ID, AWS_PROFILE, AWS_REGION, LOG_LEVELNecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"for-oscal": {
"command": "uvx",
"args": [
"mcp-server-for-oscal"
],
"env": {
"BEDROCK_MODEL_ID": "your-value",
"OSCAL_KB_ID": "your-value",
"AWS_PROFILE": "your-value",
"AWS_REGION": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add for-oscal --env BEDROCK_MODEL_ID=your-value --env OSCAL_KB_ID=your-value --env AWS_PROFILE=your-value --env AWS_REGION=your-value --env LOG_LEVEL=your-value -- uvx mcp-server-for-oscalCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"for-oscal": {
"command": "uvx",
"args": [
"mcp-server-for-oscal"
],
"env": {
"BEDROCK_MODEL_ID": "your-value",
"OSCAL_KB_ID": "your-value",
"AWS_PROFILE": "your-value",
"AWS_REGION": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"for-oscal": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-server-for-oscal"
],
"env": {
"BEDROCK_MODEL_ID": "your-value",
"OSCAL_KB_ID": "your-value",
"AWS_PROFILE": "your-value",
"AWS_REGION": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
BEDROCK_MODEL_ID envOSCAL_KB_ID envAWS_PROFILE envAWS_REGION envLOG_LEVEL envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub awslabs, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.4.0) llegó al registro hace 7 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Action1 MCP by usefulapi, QNSQY, EchelonGraph CVE & Exposure
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Read endpoints, missing updates, CVE vulnerabilities, installed software and reports in Action1.
Linux only, local: post-quantum CBOM scan, encrypt to public keys, verify. Takes no secrets
CVE, KEV, EPSS, SBOM and advisory lookups; per-CVE exposure from Shodan data (© Shodan). Keyless.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
[][pypi-url] [][pypi-url] %22&replace=%241&label=OSCAL)
Instant OSCAL expertise for your favorite AI agent
A Model Context Protocol (MCP) server that provides AI assistants (Claude, Cline, Kiro, Claude Code, etc.) with tools to work with NIST's Open Security Controls Assessment Language (OSCAL). Like many early adopters, we needed help implementing OSCAL proofs-of-concept to demonstrate value to business stakeholders. Perhaps due to limited availability of examples in the public domain, we found that most AI agents/LLMs alone produced inconsistent results related to OSCAL. The tools in this MCP server minimized that problem for our use-case and we hope it does the same for you.
[!TIP]
To get started, see Installation below.
Together, the tools provided by this MCP server are meant to enable your preferred AI assistant to provide accurate, authoritative guidance about OSCAL architecture, models, use-cases, requirements, and implementation. You don't need to understand the tools to use them, but details are in the tools directory.
The server is lightweight and meant to run locally without additional setup. By default, it uses stdio protocol for MCP transport. Do not attempt to use the server with streamable-http transport, as we've not yet implemented transport security or authentication.
The default tools should not connect to any remote services or resources - all required content is bundled with the server. As a security measure, we've implemented basic file integrity verification for bundled content. At build-time we generate manifests including SHA-256 hashes of all content files. Each time the server starts, all content files are verified against the hash manifests. Any mismatch should produce an error and prevent startup.
In addition to the MCP server, the package includes a standalone OSCAL agent built with Strands Agents. See the OSCAL Agent section below.
OSCAL (Open Security Controls Assessment Language) is a set of framework-agnostic, vendor-neutral, machine-readable schemas developed by NIST that describe the full life cycle of GRC (governance, risk, compliance) artifacts, from controls to remediation plans. OSCAL enables automation of GRC workflows by replacing digital paper (spreadsheets, PDFs, etc.) with a standard-based structured data format. To learn more about OSCAL, install this MCP server then ask your AI. Or see the official OSCAL website.
MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect electronic devices, MCP provides a standardized way to connect AI applications to external systems.
Examples below were created with kiro-cli, but should work with any AI assistant that supports MCP servers.
% kiro-cli
/tools trust get_oscal_schema list_oscal_models list_oscal_resources
Tools '@oscal/get_oscal_schema', '@oscal/list_oscal_models', '@oscal/list_oscal_resources' are now trusted. I will not ask for confirmation before running these tools.
How many GA OSCAL models are there?
I'll check the available OSCAL models to find out how many are in GA (Generally Available) status.
Running tool list_oscal_models with the param (from mcp server: oscal) ⋮ {}
There are 8 GA OSCAL models:
Control Layer (3):
Implementation Layer (2):
Assessment Layer (3):
All of these models have "GA" (Generally Available) status, meaning they are stable and ready for production use. ▸ Time: 8s
> generate a minimum, valid, OSCAL mapping in JSON for use as a template.
I'll help you create a minimal, valid OSCAL mapping in JSON. Let me first check what OSCAL models are available to understand the structure.
Running tool list_oscal_models with the param (from mcp server: oscal) ⋮ {}
Now let me get the schema for the mapping-collection model to understand its structure:
Running tool get_oscal_schema with the param (from mcp server: oscal) ⋮ { ⋮ "model_name": "mapping-collection", ⋮ "schema_type": "json" ⋮ }
Based on the schema, I'll create a minimal, valid OSCAL mapping collection template. Here's the absolute minimum required structure:
I'll create the following file: ./oscal-mapping-template.json (using tool: write) Purpose: Create minimal OSCAL mapping collection template
Creating: ./oscal-mapping-template.json
I've created a minimal, valid OSCAL mapping collection template at ./oscal-mapping-template.json. This template includes:
Required elements:
Key features:
You can customize this template by:
▸ Time: 21s
> What are some open source OSCAL catalogs?
Running tool list_oscal_resources with the param (from mcp server: oscal) ⋮ {}
Based on the OSCAL community resources, here are some notable open source OSCAL catalogs:
Australian Cyber Security Centre (ACSC)
CMS Acceptable Risk Safeguards (ARS)
GovTech Singapore
Center for Internet Security (CIS)
Cloud Security Alliance (CSA)
NIST SP 800-171 (Community)
CivicActions Component Definitions
RedHat OSCAL Content
Brad Hards ISM Catalog
These catalogs provide ready-to-use OSCAL content for various compliance frameworks and can serve as templates or starting points for your own OSCAL implementations. ▸ Time: 15s
[OSCAL] > what components are available for Cognito?
Running tool list_components with the param (from mcp server: oscal-dev) ⋮ {}
There are 3 Cognito-related components available:
▸ Time: 7s
[OSCAL] > show me the names and IDs from all 3 components
Running tool query_component_definition with the param (from mcp server: oscal-dev) ⋮ { ⋮ "query_type": "by_uuid", ⋮ "query_value": "7fd5d354-6ec4-4f8e-8c5f-2904086bb597" ⋮ }
Solo se muestra el principio; lee el resto en el repo