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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Agent Output Verifier by SarnAI

de sarnai-devversión 0.5.9i★ –iSe ejecuta en la nube
Nombre en el registrodev.sarnai/agent-output-verifier

Instalar

Resumen

Descripción del creador (original en inglés)

Independent schema and rule check of AI agent output before you pay. Signed attestation and receipt.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en la nube
  • Transporte: Streamable HTTP
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Funciona en Claude para web, escritorio y móvil:

  1. Abre Settings → Connectors
  2. Presiona Add custom connector
  3. Pega la dirección de abajo y presiona Add
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Add2https://…3
https://verify.sarnai.dev/mcp

Ejecuta esto en tu terminal

claude mcp add --transport http agent-output-verifier https://verify.sarnai.dev/mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-output-verifier": {
      "url": "https://verify.sarnai.dev/mcp"
    }
  }
}

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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "agent-output-verifier": {
      "type": "http",
      "url": "https://verify.sarnai.dev/mcp"
    }
  }
}

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.

ChatGPT solo se conecta a servidores en internet:

  1. Abre ChatGPT en la web → Settings → Connectors (Apps)
  2. Presiona Create o Add (en algunos planes primero hay que activar Developer mode en Advanced)
  3. Pega la dirección de abajo, ponle un nombre y guarda
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Create2https://…3
https://verify.sarnai.dev/mcp

Los nombres de los menús pueden variar un poco según el plan y con el tiempo.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Nombres y descripciones de las herramientas tal como los informó el servidor el 6 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.

  • verify_schema

    Independent check of AI agent output before you pay: verify and validate an AI agent's JSON against your JSON Schema and business rules, for example validate an invoice, check its total, or confirm a deliverable meets the agreed schema before you accept it. Checks structure, form

  • get_verification_record

    AI agent reputation and trust score: check an AI agent's verification record before you hire it, rely on its output or pay it. Returns its signed verification history: verified, passed and failed counts, last seen, and a recency-weighted score with 95% confidence interval. Check

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con el dominio sarnai.dev (el registro comprueba quién es dueño del dominio)

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • ✓ Superada

    El endpoint responde

    Respondió en 181 ms (HTTP 200)

  • – No aplica

    Inicio de sesión con OAuth

    No hace falta iniciar sesión

  • ✓ Superada

    Sin instrucciones ocultas en las descripciones de herramientas

    Leímos 2 descripciones de herramientas y no encontramos instrucciones ocultas para la IA

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32655 servidores de esta categoría
  • Publicado en el registro más recientemente que el 82% de los otros 32655 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32655 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Agent Output Verifier by SarnAI?

Superó 3 de 3 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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.5.9) llegó al registro hace 7 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, SuperCollider

Alternativas

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado anteayer
Instalar

Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.

Se ejecuta en tu computadoraActualizado hoy
Instalar

README del creador

Abrir el README

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.

Agent Output Verifier by SarnAI

Independent verification of AI agent output before you pay: check an AI agent's JSON against your JSON Schema and business rules (totals, unique IDs).

Independent, deterministic checks for invoices, deliverables and any structured output: structure, formats, ranges and cross-field rules, such as "line totals must equal the total," against your own requirements, written in standard JSON Schema plus optional rules. Returns pass/fail, the percentage of checks passed, fix hints, and an Ed25519-signed attestation and receipt that anyone can verify with our public key. Sellers: check your own output before you submit it, and deliver it with a signed attestation and receipt. No signup: pay per call with x402 v2, in USDC on Base or Solana. 1,000 free checks a day per caller, then $0.02 per check (x402, USDC on Base or Solana). The allowance is shared by MCP and REST; the live value is in /llms.txt. AI Agent Scores: $0.01 per lookup when there is a score; a lookup for an AI agent with no history is answered free, signed.

Use this to

  • Validate an invoice and check its total: line items against the invoice total and your rules, before you pay it.
  • JSON Schema validation: check a tool call's or an API response's JSON against a JSON Schema before you use it.
  • Acceptance check of a deliverable: confirm it meets the agreed schema and rules, then pay after verify.
  • AI agent reputation: look up an AI agent's track record and trust score before you hire it or rely on its output.

Agent Output Verifier is part of SarnAI, an ecosystem of products for AI agents that work with each other, with the Agent Discovery Board (https://board.sarnai.dev/guide) and AI Agent Scores.

SarnAI homepage: https://sarnai.dev

This repository is documentation and public metadata for the hosted service — there is no source code to install or run here. The service itself is a live API at https://verify.sarnai.dev. The original address, https://fastapi-service-5ag4.onrender.com, keeps working with the same responses and keys; attestations and receipts issued before the move point at it.

Endpoints

PurposeEndpoint
MCP (Streamable HTTP)https://verify.sarnai.dev/mcp
Verify an output (REST)POST https://verify.sarnai.dev/verify/schema
Verify a deliverable (REST; the same check under a second name)POST https://verify.sarnai.dev/verify/deliverable
Look up an AI agent's trust score (REST)GET https://score.sarnai.dev/score/{agent_id}, for example GET https://score.sarnai.dev/score/example-agent-001
An AI agent's free pass/fail history (REST)GET https://verify.sarnai.dev/reputation/{agent_id}
Liveness checkGET https://verify.sarnai.dev/health
Agent card (discovery)GET https://verify.sarnai.dev/.well-known/agent-card.json
x402 discovery manifestGET https://verify.sarnai.dev/.well-known/x402
llms.txt (and llms-full.txt with worked examples)GET https://verify.sarnai.dev/llms.txt
Same agent card at the older A2A pathGET https://verify.sarnai.dev/.well-known/agent.json
API catalog (RFC 9727)GET https://verify.sarnai.dev/.well-known/api-catalog
JSON index for a client that is not a browserGET https://verify.sarnai.dev/ with Accept: application/json
Interactive API docsGET https://verify.sarnai.dev/docs

Two MCP tools are exposed over the same endpoint: verify_schema (POST /verify/schema) and get_verification_record (GET /score/{agent_id}).

Pricing and networks

After the free allowance, each call is paid with x402 v2 in USDC. AI Agent Scores: $0.01 per lookup when there is a score; a lookup for an AI agent with no history is answered free, signed. No account or signup is required.

RoutePriceNetworks
POST /verify/schema$0.02 USDCBase (eip155:8453), Solana (solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp)
POST /verify/deliverable$0.02 USDCBase (eip155:8453), Solana (solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp)
GET /score/{agent_id} (for example /score/example-agent-001)$0.01 USDC when there is a score; free (signed, no_data) for an AI agent with no historyBase (eip155:8453), Solana (solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp)

/.well-known/x402 and the Payment-Required header of a live 402 response always carry the exact live prices, pay-to addresses and asset addresses — treat them as the source of truth, and this table as a quick reference.

Three headers carry the payment itself, by name: an unpaid request gets HTTP 402 with the price and payment requirements in the Payment-Required response header; a paid request carries its signed payment in the Payment-Signature request header; a settled response carries the settlement receipt in the Payment-Response response header. A fail result is a complete, valid answer to the question asked and is charged the same as a pass — the work (running every check) is identical either way.

Free allowance

Verification has a free allowance: 1,000 free checks a day per caller, then $0.02 per check (x402, USDC on Base or Solana). Each client, identified by request IP address (there is no sign-up or account), gets a daily allowance of checks, shared by the MCP tool verify_schema and the REST routes POST /verify/schema and POST /verify/deliverable. The allowance is a setting, not a constant: the live numbers are stated in one place, the "Free allowance" section of /llms.txt.

A valid unpaid REST request is served free while the allowance lasts, and the response says what is left in the Free-Allowance-Remaining, Free-Allowance-Limit and Free-Allowance-Resets headers. A request that is too large, one that carries a payment, and any request after the day's allowance is used up, goes to payment as usual (HTTP 402). An invalid request is never pointed at payment: it gets a validation error (HTTP 422, see "Errors" below). Free verifications count toward an AI agent's score and reputation exactly like paid ones.

Agent Scores: GET /score/{agent_id} and the MCP tool get_verification_record cost $0.01 per lookup when there is a score, with no free allowance; a lookup for an AI agent with no history (or a reserved test- id) is answered free, signed, with reason: no_data. The template is called with the id of a real AI agent, for example GET /score/example-agent-001; a request whose agent_id is the placeholder itself ({agent_id}, :agent_id, ) is refused with a 400 (placeholder_agent_id) before any payment is asked for, and nothing is charged.

An unpaid REST call's 402 body reports this caller's own real state, live: available, remaining_calls_today, and resets_at (the next UTC midnight). Once a client's allowance for the day is used up, available turns false and the body carries "code": "free_trial_exhausted":

{

"free_trial": { "available": false, "via": "mcp+rest", "transport": "streamable-http", "url": "https://verify.sarnai.dev/mcp", "tool": "verify_schema", "calls_per_client_per_day": " ", "remaining_calls_today": 0, "resets_at": " ", "client": "identified by request IP address; the same address's REST and MCP verification calls share one allowance", "rest_free": true, "message": "This client's free checks for today are used up (REST and MCP share them); they reset at . Payment applies until then.", "code": "free_trial_exhausted" } }

The same free_trial_exhausted code rides alongside the MCP tool's own payment-required result (in _meta) when a tool call is made after that client's allowance for the day is gone. After the allowance (or once it is used up for the day), a call requires an x402 payment carried in the MCP request's _meta under x402/payment, or a standard x402 payment header on REST.

Python

The official package, sarnai, wraps the Agent Discovery Board and this verifier. No account or secrets needed.

pip install sarnai
from sarnai import SarnAIClient

with SarnAIClient() as sarnai: result = sarnai.verify_output({"type": "object", "required": ["total"]}, {"total": 42}) print(result.passed, result.hints)

Verification is free within the daily allowance above; beyond it the service answers 402 and the client raises PaymentRequiredError.

Errors

Every error other than a payment error has one shape, on REST and in MCP tool results:

{

"code": "invalid_request", "message": "The request is invalid: rules[0].type is not one of the allowed values. Nothing was charged; fix the field(s) and send it again.", "status": 422, "retryable": false, "charged": false, "next_actions": [{"action": "fix_request_fields", "fields": ["rules[0].type"]}], "fields": [{"field": "rules[0].type", "problem": "is not one of the allowed values", "fix": "Use one of: 'sum_equals', 'gte', 'lte', 'exists_in' or 'unique'."}] }

code is stable, retryable says whether the same request can succeed on a retry (a retryable error also has retry_after), and an error is never charged. Your input is never echoed back. An invalid request (bad JSON, a missing field, an unknown rule type, an id over 200 characters) is rejected with a 422 before payment, so it is never told "payment required"; a POST with no body at all is the x402 discovery probe and still gets the 402. A body over the size limit gets a 413 that states the limit. The full code table and the payment-error codes are in the /llms.txt "Errors" and "Payment errors" sections and in the OpenAPI description.

Verifying a receipt, step by step

Every response from /verify/schema and /score/{agent_id} carries a signed verify section and an attestation block, for example:

"verify": {

"public_key_url": "https://verify.sarnai.dev/.well-known/agent-card.json", "key_version": "v1-2026-09c", "canonicalization": "RFC 8785 (JCS)", "hash_algorithm": "SHA-256", "service": "Agent Output Verifier", "mcp": "https://verify.sarnai.dev/mcp" }, "attestation": { "algorithm": "Ed25519", "key_version": "v1-2026-09c", "timestamp": "2026-10-01T01:01:09.606993+00:00", "signature": "8UexIObSAwQxjj8/rbEpLRgbYY6XO+wg5+b0D8I3BRfbOxl+ouwcKNPE/hp+9p37Tm2wwdmCqPjBgOMLGQtGAQ==" }

Nothing but the response itself and verify.public_key_url is needed:

  1. Fetch the public key. GET the agent-card at verify.public_key_url. Its capabilities.extensions array has an entry whose uri starts with urn:json-schema-verifier:extension:attestation:; its params.publicKeys lists every key the service has ever signed with, each {keyVersion, algorithm, publicKey} (the raw 32-byte Ed25519 public key, base64-encoded). Pick the entry whose keyVersion equals response.attestation.key_version. The live agent-card is always the source of truth; this is a convenience copy of the current key, worth reconfirming against the live agent-card first:
   {

"keyVersion": "v1-2026-09c", "algorithm": "Ed25519", "publicKey": "d2IHH0/Xduci/5J8IewYmauUvgqf+gFIeCEXDwjHUhw=", "publicKeyEncoding": "base64 of the raw 32-byte Ed25519 public key" }

2. **Rebuild the signed document.** It's a JSON object with exactly these five keys:
   {

"context": "json-schema-verifier/verify-schema-attestation/v1", "algorithm": "Ed25519", "key_version": " ", "attested_at": " ", "response": { "...": "the full response, with the attestation field removed" } }

   `context` is `json-schema-verifier/verify-schema-attestation/v1` for `/verify/schema` responses **and for

Solo se muestra el principio; lee el resto en el repo

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