agentbuilt
Free AI-readiness audit of any URL: AI crawler rules, JS-free text, JSON-LD, llms.txt. Tool catalog.
¿Debería usar esto?
Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
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": {
"agentbuilt": {
"url": "https://agentbuilt.dev/api/mcp"
}
}
}Puntos de conexión remotos
https://agentbuilt.dev/api/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (3)
⚪audit_ai_readiness(url)
Free. Fetches a URL and reports how readable it is to AI assistants and agents: whether GPTBot, ClaudeBot, PerplexityBot, Google-Extended and friends are allowed in robots.txt, how much real text survives without JavaScript, what JSON-LD entity types are declared, and whether llms.txt, sitemap.xml and an A2A agent card exist. Returns a score, the individual checks, and concrete fixes. It does NOT tell you whether assistants actually recommend the brand — that requires querying the models, which is the paid audit.
Esquema de entrada
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The site to check, e.g. example.com or https://example.com/pricing"
}
},
"required": [
"url"
],
"additionalProperties": false
}🟢list_agentbuilt_tools(task)
Free. Returns the agentbuilt catalog of pay-per-result data tools for AI pipelines — what each one does, when to use it, what it explicitly cannot do, and what it costs. Use this when choosing a tool for extracting YouTube transcripts, Substack archives, Shopify/ACP product feeds, or measuring AI-assistant visibility. Each tool is callable over the Apify API, as an MCP tool, or from n8n, Make and Zapier, using the caller own Apify account.
Esquema de entrada
{
"type": "object",
"properties": {
"task": {
"type": "string",
"description": "Optional plain description of the task, to filter the catalog."
}
},
"additionalProperties": false
}🟡request_visibility_audit(brand, domain, email, consent, notes)
Requests the free human-readable audit: agentbuilt asks real buyer questions to ChatGPT, Perplexity, Gemini and Claude and emails back a report on mention rate, citation rate and which competitors get named instead. Only call this when the person you are acting for has asked for it and has given you their own email address for this purpose. Do not call it speculatively, and do not submit an address that is not theirs.
Esquema de entrada
{
"type": "object",
"properties": {
"brand": {
"type": "string",
"description": "Brand name as customers say it."
},
"domain": {
"type": "string",
"description": "Primary website."
},
"email": {
"type": "string",
"description": "Where to send the report. Must belong to the person requesting it."
},
"consent": {
"type": "boolean",
"description": "True only if that person asked for this report to be sent to that address."
},
"notes": {
"type": "string",
"description": "Optional: category, competitors to compare against."
}
},
"required": [
"brand",
"domain",
"email",
"consent"
],
"additionalProperties": false
}Comunidad
Evidencia