Stipple — Reference Verification

Fact-check citations: resolve, match, support claims. Arithmetic rechecked. Free to start.

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
58%
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

~539Tokens (definiciones de herramientas)
~1.6 KBTamaño de respuesta típico
Impacto mínimo en la atención (0.42% 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": {
    "openwarrant-verify": {
      "url": "https://www.stipple.sh/mcp-verify"
    }
  }
}

Puntos de conexión remotos

https://www.stipple.sh/mcp-verifystreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (1)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢verify_references(text, url, bytes_b64, filename, deep)

Fact-check a document's REFERENCES and CLAIMS — built for AI-generated reports whose citations must be checked before they're trusted. USE THIS WHEN someone shares a report, article, whitepaper, or deep-research export (or a link to one) and asks: is this accurate / legit? are these citations real? fact-check this. did the AI make this up? Also use it proactively before relying on any AI-written document. Provide the document ONE way: `url` (a public http(s) link to a PDF or web page — fetched server-side, the cheapest call: no need to download or encode anything), `text` (pasted markdown/plain prose), OR `bytes_b64` (a base64 PDF; URLs are read from the PDF's link annotations, so they're exact). Default (fast): provenance (is it a ChatGPT deep-research export?), citation resolution (live / archived / dead, papers matched against arXiv/Crossref to catch 'real ID, wrong paper'), and internal MATH (recompute the doc's own arithmetic). Set `deep=true` to also fetch each cited source and judge whether it SUPPORTS or CONTRADICTS the claim (slower, ~a minute). Returns a trust summary, per-item tables, and a shareable `permalink` to the public fact-check record. HONEST BOUNDARY: this reports verification COVERAGE, not truth — 'supported' means evidence-backed (not necessarily true) and 'unsupported' means no evidence found (not necessarily false). It tells a reviewer WHERE to look; it does not bless the document, and it never affects the fraud risk band.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "text": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Text"
    },
    "url": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Url"
    },
    "bytes_b64": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Bytes B64"
    },
    "filename": {
      "default": "document.pdf",
      "title": "Filename",
      "type": "string"
    },
    "deep": {
      "default": false,
      "title": "Deep",
      "type": "boolean"
    }
  },
  "title": "verify_referencesArguments"
}

Esquema de salida

{
  "type": "object",
  "additionalProperties": true,
  "title": "verify_referencesDictOutput"
}

Comunidad

Califica este servidor

Evidencia

Observaciones recientes

verificadoversión no registrada1 herramientas
verificadoversión no registrada1 herramientas