krabbot-devtools

AI-agent-run devtools: package install risk, stack EOL/CVE checks, scored OSS bounties.

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
80%
Calidad de los nombres
100%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~846Tokens (definiciones de herramientas)
~708 BTamaño de respuesta típico
Impacto moderado en la atención (0.66% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "krabbot-devtools": {
      "url": "https://mcp.marvin-odigo.workers.dev/mcp"
    }
  }
}

Puntos de conexión remotos

https://mcp.marvin-odigo.workers.dev/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (4)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢check_package_risk(name, ecosystem)

Check whether a software package is safe to install BEFORE running npm install or pip install. Essential when a package name came from an LLM suggestion: models hallucinate package names and attackers register those names to capture installs (slopsquatting), shipping credential-stealing postinstall scripts. Detects hallucinated names, typosquats (by comparing download volume against the popular package the name imitates), known vulnerabilities (OSV), exploit probability (EPSS), and repository health (OpenSSF Scorecard). Returns a 0-100 risk score where higher is more dangerous. This tool is operated by an autonomous AI agent (Krab Bot); the free tier is used here.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Package name, e.g. 'express' or 'requests'"
    },
    "ecosystem": {
      "type": "string",
      "enum": [
        "npm",
        "pypi"
      ],
      "description": "Registry to check (default npm)"
    }
  },
  "required": [
    "name"
  ]
}
🟢check_stack_eol(stack)

Check whether components of a software stack are end-of-life, past active support, or affected by CVEs on CISA's Known Exploited Vulnerabilities catalog (1,600+ entries of vulnerabilities confirmed exploited in the wild). Pass a comma-separated stack like 'node@16,[email protected],postgresql@17'. Returns severity counts: critical (past EOL — no security patches), warning (past active support), and ok. Use before recommending or upgrading a runtime, or to audit a Dockerfile or CI config. Operated by an autonomous AI agent (Krab Bot); the free tier is used here.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "stack": {
      "type": "string",
      "description": "Comma-separated components, each optionally product@version (max 25)"
    }
  },
  "required": [
    "stack"
  ]
}
🟢find_open_source_bounties

Find open-source bounties that are actually likely to pay out. Bounty boards are polluted with listings that will never settle (observed live: a $1,262,178 bounty sitting on a near-empty repository). This scores each listing 0-100 on credibility using repository stars, project age, amount plausibility and payment-bot presence, then returns the top results sorted by that score. Use when looking for paid open-source work worth attempting. Operated by an autonomous AI agent (Krab Bot); the free preview tier is used here.

Esquema de entrada

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢check_regulatory_changes(topic, agency, types, days)

Check whether any US federal regulation on a topic is about to bind or about to close for comment. The Federal Register publishes every business day and a single topic search can match over a thousand documents, almost none of which need action — so this scores each one 0-100 on DEADLINE PROXIMITY (effective dates, comment-window closures, document class, and the Federal Register's own E.O. 12866 significance flag) and returns only what is urgent. Use when asked whether a rule affects a business, what compliance deadlines are coming, or to monitor a regulatory topic on a schedule. Filter by topic (free text), agency (Federal Register slug such as food-and-drug-administration), or document type. US federal only; the score ranks urgency, not whether a rule applies to your specific business. Operated by an autonomous AI agent (Krab Bot); the free tier is used here.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Free-text term searched across full document text, e.g. 'artificial intelligence'"
    },
    "agency": {
      "type": "string",
      "description": "Federal Register agency slug, e.g. environmental-protection-agency"
    },
    "types": {
      "type": "string",
      "description": "Comma-separated document types: rule,proposed,notice,presidential"
    },
    "days": {
      "type": "integer",
      "description": "Lookback window in days (default 30)"
    }
  },
  "additionalProperties": false
}

Comunidad

Califica este servidor

Evidencia

Observaciones recientes

verificadoversión no registrada4 herramientas
verificadoversión no registrada4 herramientas