https://www.agentport.dev/

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  "markdown": "MCP Infrastructure-as-a-Service — Now in early access\n\n## Your business.\nAgent-native.\nIn 5 minutes.\n\nConvert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\n\nSOC 2 compliant99.9% uptime SLAWorks with Claude & ChatGPTNo code changes neededFree tier available\n\n## The web is being re-indexed. By AI agents.\n\n-   AI agents can't read your Shopify store\n-   ChatGPT can't add to cart for your customers\n-   Your products are invisible to Claude\n-   Browser AI skips right past your website\n\nVS\n\nAgentPort\n\n-   Claude searches your catalog natively\n-   ChatGPT completes purchases in your store\n-   Google AI Mode recommends your listings\n-   Browser AI agents transact on your site\n\nProjected 20260%\n\nof product searches now start in AI chatbots, not Google.\n\nProjected 20260\n\ne-commerce transactions will be AI-agent initiated.\n\nProjected 20260%\n\nof websites have any MCP support today.\n\n## Deploy in 4 steps. No engineers needed.\n\n1\n\n### Sign up & name your endpoint\n\nEnter your business name. We derive your unique slug (e.g., 'Acme Shoes' → acme-shoes) and show you your future MCP endpoint: https://agentport.dev/api/acme-shoes/mcp\n\n2\n\n### Connect your data source\n\nChoose from Shopify, Product Feed (CSV/JSON/XML), MongoDB, or Custom REST API. Paste your credentials. We handle the rest.\n\n3\n\n### Tools are auto-generated\n\nAgentPort analyzes your connector capabilities and generates MCP tools — product search, inventory check, cart creation, checkout — with LLM-tested descriptions validated across Claude, GPT-4o, and Gemini.\n\n4\n\n### Go live on every AI platform\n\nCopy your three integration artifacts — MCP endpoint, WebMCP script, UCP profile — and you’re live everywhere AI agents operate.\n\nMaking any website agent-ready\n\nAgentport\n\n.dev\n\nWebMCP as a Service\n\n🌐\n\nWebMCP\n\nLive\n\nBrowser-native agent tools via Chrome's WebMCP standard\n\n📦\n\nProduct Feed MCP\n\nComing Soon\n\nStructured catalog ingestion from any product feed or API\n\n🛒\n\nCheckout MCP\n\nComing Soon\n\nCart, shipping & order management for AI agents\n\n💳\n\nPayments MCP\n\nComing Soon\n\nPCI-compliant payment flows via merchant's existing PSP\n\n🧪\n\nAgent Sim\n\nComing Soon\n\nTest & simulate AI agent interactions before production\n\nOne integration → WebMCP + Backend MCP + UCP\n\nagentport.dev\n\nWebMCP\n\nBrowser Agents\n\nBackend MCP\n\nChatGPT · Claude · Gemini\n\nUCP\n\nGoogle Commerce\n\n## Connect anything. Auto-generate everything.\n\nPick a connector, supply your credentials, and AgentPort builds production-ready MCP tools automatically.\n\n### Shopify\n\nMost Popular\n\nConnect your Shopify store with your Admin API token. AgentPort integrates with both the Admin REST API and Storefront GraphQL API.\n\nHighlight\n\nFull transactional — agents can actually complete purchases.\n\nAuto-generates\n\n6 tools (search, details, inventory, create cart, add to cart, checkout URL)\n\nSetup time2 minutes\n\nWooCommerce, Magento, BigCommerce, and Salesforce Commerce Cloud coming soon. [Join the waitlist](https://www.agentport.dev/#)\n\n## Production tools. Zero description writing.\n\nEvery auto-generated tool ships with LLM-optimized descriptions, strict input schemas, and anti-hallucination prompting.\n\nLLM-tested descriptions. All tool descriptions are validated for ≥90% correct first-attempt invocation on GPT-4o, Claude 3.5, and Gemini.\n\nAnti-hallucination prompting built in — agents are instructed not to assume filters the user never mentioned.\n\n## One setup. Every AI platform.\n\nOther tools give you one integration. AgentPort gives you three.\n\nNo other platform gives you all three. Most tools stop at one protocol and leave the rest of the AI web invisible to you.\n\nPOC · Live on AgentPort\n\n## Live proof: CribLiv, India's first AI-native rental marketplace\n\nCribLiv is a verified rental marketplace in Bangalore. Using AgentPort, they deployed six MCP tools that let AI agents search listings, compare properties, check availability, and book visits — without writing a single line of integration code.\n\n> “A tenant told Claude: ‘Find me a verified 2BHK in Koramangala under ₹25,000 with AC and parking.’ The agent called search\\_properties → get\\_property\\_details → compare\\_properties → schedule\\_visit. A visit was booked. Nothing else needed.”\n\n6\n\nMCP tools deployed\n\n0\n\nlines of code\n\n1\n\nWorking visit booking\n\n## Works everywhere agents live.\n\nClaude\n\nvia MCP Streamable HTTP\n\nClaude Desktop\n\nvia claude\\_desktop\\_config.json\n\nChatGPT\n\nvia OpenAI Responses API\n\nChrome AI\n\nvia WebMCP script tag\n\nGoogle AI Mode\n\nvia UCP submission\n\nGemini\n\nvia UCP profile\n\nCursor\n\nvia MCP\n\nWindsurf\n\nvia MCP\n\nAny MCP Client\n\nvia Streamable HTTP\n\nAgentPort uses the OpenAI Responses API — NOT the deprecated Assistants API (shutting down August 2026). Future-proof from day one.\n\n## A dashboard built for merchants, not engineers.\n\n4 screens from zero to live MCP endpoint. Business name, connector choice, review, deploy. Your endpoint is ready before you finish your coffee.\n\n1\n\nBusiness Info\n\n2\n\nConnector\n\n3\n\nReview\n\n4\n\nDeploy\n\nBusiness Name\n\nAcme Shoes\n\nIndustry\n\nE-commerce\n\nNext Step\n\n## Enterprise-grade infrastructure. Startup simplicity.\n\nAI Agent\n\nAgentPort MCP Server\n\nKernel Packages\n\nSupabase PostgreSQL\n\nExternal APIs\n\n## Simple pricing. Generous free tier.\n\nFREE\n\n### Explorer\n\n$0/month\n\nNo credit card\n\n-   1 tenant (1 business)\n-   1,000 tool calls / day\n-   Shopify + Feed connectors\n-   MCP endpoint\n-   WebMCP script\n-   UCP profile\n-   Community support\n\n[Start free →](https://www.agentport.dev/#)\n\nMOST POPULAR\n\nPRO\n\n### Builder\n\n$49/month\n\n-   3 tenants\n-   10,000 tool calls / day\n-   All connectors (incl. MongoDB + Custom API)\n-   Priority support\n-   Analytics dashboard\n-   Custom tool builder\n-   Visit requests (real estate)\n\n[Start 14-day trial →](https://www.agentport.dev/#)\n\nENTERPRISE\n\n### Scale\n\nCustom\n\n-   Unlimited tenants\n-   Unlimited tool calls\n-   Custom connectors\n-   Dedicated infrastructure\n-   SLA + uptime guarantee\n-   White-label option\n-   Dedicated support\n\n[Contact us →](https://www.agentport.dev/#)\n\nAll plans include MCP + WebMCP + UCP — three protocols, zero extra cost.\n\n## The AI agent economy is here. Is your business in it?\n\nMost websites are invisible to AI agents today. In 12 months, that's a 40% traffic problem. AgentPort fixes it in 5 minutes.\n\nJoin 200+ merchants on the early access waitlist.\n\n🔒 No spam. Magic link only. Cancel anytime.\n",
  "fullPageMarkdown": "AgentPort — MCP Infrastructure-as-a-Service\n\n🔌MCP Infrastructure-as-a-Service — Now in early access\n\n# Your business.\nAgent-native.\nIn 5 minutes.\n\nConvert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\n\n[Get started free](https://www.agentport.dev/#)[Watch demo](https://www.agentport.dev/#)\n\nSOC 2 compliant99.9% uptime SLAWorks with Claude & ChatGPTNo code changes neededFree tier available\n\nterminal\n\n|\n\n## The web is being re-indexed. By AI agents.\n\n### Before AgentPort\n\n-   AI agents can't read your Shopify store\n-   ChatGPT can't add to cart for your customers\n-   Your products are invisible to Claude\n-   Browser AI skips right past your website\n\nVS\n\nAgentPort\n\n### After AgentPort\n\n-   Claude searches your catalog natively\n-   ChatGPT completes purchases in your store\n-   Google AI Mode recommends your listings\n-   Browser AI agents transact on your site\n\nProjected 20260%\n\nof product searches now start in AI chatbots, not Google.\n\nProjected 20260\n\ne-commerce transactions will be AI-agent initiated.\n\nProjected 20260%\n\nof websites have any MCP support today.\n\n## Deploy in 4 steps. No engineers needed.\n\n1\n\n### Sign up & name your endpoint\n\nEnter your business name. We derive your unique slug (e.g., 'Acme Shoes' → acme-shoes) and show you your future MCP endpoint: https://agentport.dev/api/acme-shoes/mcp\n\n2\n\n### Connect your data source\n\nChoose from Shopify, Product Feed (CSV/JSON/XML), MongoDB, or Custom REST API. Paste your credentials. We handle the rest.\n\n3\n\n### Tools are auto-generated\n\nAgentPort analyzes your connector capabilities and generates MCP tools — product search, inventory check, cart creation, checkout — with LLM-tested descriptions validated across Claude, GPT-4o, and Gemini.\n\n4\n\n### Go live on every AI platform\n\nCopy your three integration artifacts — MCP endpoint, WebMCP script, UCP profile — and you’re live everywhere AI agents operate.\n\nMaking any website agent-ready\n\nAgentport\n\n.dev\n\nWebMCP as a Service\n\n🌐\n\nWebMCP\n\nLive\n\nBrowser-native agent tools via Chrome's WebMCP standard\n\n📦\n\nProduct Feed MCP\n\nComing Soon\n\nStructured catalog ingestion from any product feed or API\n\n🛒\n\nCheckout MCP\n\nComing Soon\n\nCart, shipping & order management for AI agents\n\n💳\n\nPayments MCP\n\nComing Soon\n\nPCI-compliant payment flows via merchant's existing PSP\n\n🧪\n\nAgent Sim\n\nComing Soon\n\nTest & simulate AI agent interactions before production\n\nOne integration → WebMCP + Backend MCP + UCP\n\nagentport.dev\n\nWebMCP\n\nBrowser Agents\n\nBackend MCP\n\nChatGPT · Claude · Gemini\n\nUCP\n\nGoogle Commerce\n\n## Connect anything. Auto-generate everything.\n\nPick a connector, supply your credentials, and AgentPort builds production-ready MCP tools automatically.\n\nShopify\n\nMost Popular\n\nProduct Feed\n\nConnector\n\nCustom REST API\n\nConnector\n\nMongoDB\n\nBeta\n\nManual Tool Builder\n\nConnector\n\n### ShopifyMost Popular\n\nConnect your Shopify store with your Admin API token. AgentPort integrates with both the Admin REST API and Storefront GraphQL API.\n\nHighlight\n\nFull transactional — agents can actually complete purchases.\n\nAuto-generates\n\n6 tools (search, details, inventory, create cart, add to cart, checkout URL)\n\nSetup time2 minutes\n\nWooCommerce, Magento, BigCommerce, and Salesforce Commerce Cloud coming soon. [Join the waitlist](https://www.agentport.dev/#)\n\n## Production tools. Zero description writing.\n\nEvery auto-generated tool ships with LLM-optimized descriptions, strict input schemas, and anti-hallucination prompting.\n\nE-commerceReal Estate / Rentals\n\nmcp-tool-explorer\n\nE-commerce Tools (6)\n\nsearch\\_productsget\\_product\\_detailscheck\\_inventorycreate\\_cartwriteadd\\_to\\_cartwriteget\\_checkout\\_urlwrite\n\nRead-onlyTransactional\n\nMCP Tool DefinitionRead-only\n\n```\n{\n  \"name\": \"search_products\",\n  \"description\": \"Search catalog by keyword, category, price range. Call this before get_product_details.\",\n  \"inputSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"query\": {\n        \"type\": \"string\"\n      },\n      \"category\": {\n        \"type\": \"string\"\n      },\n      \"min_price\": {\n        \"type\": \"number\"\n      },\n      \"max_price\": {\n        \"type\": \"number\"\n      }\n    },\n    \"required\": [\n      \"query\"\n    ]\n  }\n}\n```\n\nLLM-tested descriptions. All tool descriptions are validated for ≥90% correct first-attempt invocation on GPT-4o, Claude 3.5, and Gemini.\n\nAnti-hallucination prompting built in — agents are instructed not to assume filters the user never mentioned.\n\n## One setup. Every AI platform.\n\nOther tools give you one integration. AgentPort gives you three.\n\nMCP Streamable HTTP Endpoint\n\n### For Claude, ChatGPT, and any MCP client\n\nYour personal MCP server, hosted and managed. Works with Claude Desktop, Claude.ai Projects, ChatGPT via OpenAI Responses API, and any MCP-compatible tool.\n\n// claude\\_desktop\\_config.json\n{\n  \"mcpServers\": {\n    \"acme-shoes\": {\n      \"url\": \"https://agentport.dev/api/acme-shoes/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer ap\\_live\\_xxxx\"\n      }\n    }\n  }\n}\n\nClaudeChatGPTCursorMCP Clients\n\nAuthenticated endpoint. API key scoped per-client for full audit trail.\n\nWebMCP Browser Script\n\n### For Chrome browser AI (Chrome 146+)\n\nA single script tag makes your website's tools available to any browser AI agent. Zero authentication required.\n\n<!-- Add to your website's <head> -->\n<script\n  src=\"https://agentport.dev/api/acme-shoes/webmcp.js\"\n  defer\n></script>\n\nChrome AIWebMCP\n\nZero-auth public endpoint. Browser agents discover and call your tools directly.\n\nUniversal Context Profile (UCP)\n\n### For Google AI Mode & Gemini\n\nA structured machine-readable profile that Google's AI Mode and Gemini use to recommend your products.\n\n\\# Submit to Google Search Console\nGET https://agentport.dev/api/acme-shoes/ucp\n\n# Returns structured JSON profile:\n# - Business info\n# - Product catalog summary\n# - Available MCP tools\n# - Commerce capabilities\n\nGoogle AI ModeGemini\n\nGoogle AI Mode is already indexing UCP profiles.\n\nNo other platform gives you all three. Most tools stop at one protocol and leave the rest of the AI web invisible to you.\n\nPOC · Live on AgentPort\n\n## Live proof: CribLiv, India's first AI-native rental marketplace\n\nCribLiv is a verified rental marketplace in Bangalore. Using AgentPort, they deployed six MCP tools that let AI agents search listings, compare properties, check availability, and book visits — without writing a single line of integration code.\n\n> “A tenant told Claude: ‘Find me a verified 2BHK in Koramangala under ₹25,000 with AC and parking.’ The agent called search\\_properties → get\\_property\\_details → compare\\_properties → schedule\\_visit. A visit was booked. Nothing else needed.”\n\n6\n\nMCP tools deployed\n\n0\n\nlines of code\n\n1\n\nWorking visit booking\n\nClaude\n\n## Works everywhere agents live.\n\nClaude\n\nvia MCP Streamable HTTP\n\nClaude Desktop\n\nvia claude\\_desktop\\_config.json\n\nChatGPT\n\nvia OpenAI Responses API\n\nChrome AI\n\nvia WebMCP script tag\n\nGoogle AI Mode\n\nvia UCP submission\n\nGemini\n\nvia UCP profile\n\nCursor\n\nvia MCP\n\nWindsurf\n\nvia MCP\n\nAny MCP Client\n\nvia Streamable HTTP\n\nAgentPort uses the OpenAI Responses API — NOT the deprecated Assistants API (shutting down August 2026). Future-proof from day one.\n\n## A dashboard built for merchants, not engineers.\n\nOnboarding WizardTool ManagerConnector SetupIntegration HubAnalyticsVisit Requests\n\n### Onboarding Wizard\n\n4 screens from zero to live MCP endpoint. Business name, connector choice, review, deploy. Your endpoint is ready before you finish your coffee.\n\n1\n\nBusiness Info\n\n2\n\nConnector\n\n3\n\nReview\n\n4\n\nDeploy\n\nBusiness Name\n\nAcme Shoes\n\nIndustry\n\nE-commerce\n\nNext Step\n\n## Enterprise-grade infrastructure. Startup simplicity.\n\nAI Agent\n\nAgentPort MCP Server\n\nKernel Packages\n\nSupabase PostgreSQL\n\nExternal APIs\n\nShow architecture details\n\n## Simple pricing. Generous free tier.\n\nFREE\n\n### Explorer\n\n$0/month\n\nNo credit card\n\n-   1 tenant (1 business)\n-   1,000 tool calls / day\n-   Shopify + Feed connectors\n-   MCP endpoint\n-   WebMCP script\n-   UCP profile\n-   Community support\n\n[Start free →](https://www.agentport.dev/#)\n\nMOST POPULAR\n\nPRO\n\n### Builder\n\n$49/month\n\n-   3 tenants\n-   10,000 tool calls / day\n-   All connectors (incl. MongoDB + Custom API)\n-   Priority support\n-   Analytics dashboard\n-   Custom tool builder\n-   Visit requests (real estate)\n\n[Start 14-day trial →](https://www.agentport.dev/#)\n\nENTERPRISE\n\n### Scale\n\nCustom\n\n-   Unlimited tenants\n-   Unlimited tool calls\n-   Custom connectors\n-   Dedicated infrastructure\n-   SLA + uptime guarantee\n-   White-label option\n-   Dedicated support\n\n[Contact us →](https://www.agentport.dev/#)\n\nAll plans include MCP + WebMCP + UCP — three protocols, zero extra cost.\n\n## Frequently asked questions\n\nWhat is MCP and why does it matter?\n\nDo I need to know how to code?\n\nHow is AgentPort different from building my own MCP server?\n\nWhat about ChatGPT — I heard the Assistants API is deprecated?\n\nWhat is WebMCP and UCP?\n\nIs my data safe? Are my API credentials secure?\n\nCan I use this for non-ecommerce businesses?\n\nWhat happens when I hit my tool call limit?\n\n## The AI agent economy is here. Is your business in it?\n\nMost websites are invisible to AI agents today. In 12 months, that's a 40% traffic problem. AgentPort fixes it in 5 minutes.\n\nGet early access →\n\nJoin 200+ merchants on the early access waitlist.\n\n🔒 No spam. Magic link only. Cancel anytime.\n",
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      "descriptionKey": "rec.add_content_signals.description",
      "howToKey": "rec.add_content_signals.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
    },
    {
      "id": "remove_inline_styles",
      "priority": "critical",
      "category": "contentEfficiency",
      "titleKey": "rec.remove_inline_styles.title",
      "descriptionKey": "rec.remove_inline_styles.description",
      "howToKey": "rec.remove_inline_styles.howto",
      "effort": "moderate",
      "estimatedImpact": 3,
      "checkScore": 0,
      "checkDetails": "149/1202 elements with inline styles (12.4%)"
    },
    {
      "id": "add_schema_org",
      "priority": "high",
      "category": "structuredData",
      "titleKey": "rec.add_schema_org.title",
      "descriptionKey": "rec.add_schema_org.description",
      "howToKey": "rec.add_schema_org.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "No JSON-LD / Schema.org found"
    },
    {
      "id": "add_semantic_elements",
      "priority": "high",
      "category": "semanticHtml",
      "titleKey": "rec.add_semantic_elements.title",
      "descriptionKey": "rec.add_semantic_elements.description",
      "howToKey": "rec.add_semantic_elements.howto",
      "effort": "moderate",
      "estimatedImpact": 5,
      "checkScore": 16,
      "checkDetails": "16 semantic elements, 310 divs (ratio: 5%)"
    },
    {
      "id": "add_open_graph",
      "priority": "medium",
      "category": "structuredData",
      "titleKey": "rec.add_open_graph.title",
      "descriptionKey": "rec.add_open_graph.description",
      "howToKey": "rec.add_open_graph.howto",
      "effort": "quick-win",
      "estimatedImpact": 4,
      "checkScore": 67,
      "checkDetails": "2/3 OG tags present"
    }
  ],
  "llmsTxtPreview": "# AgentPort\n\n> Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\n\n## Main\n- [AgentPort — MCP Infrastructure-as-a-Service](https://www.agentport.dev/): Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claud…\n\n",
  "llmsTxtExisting": null,
  "emergingProtocols": {
    "oauthDiscovery": {
      "exists": false,
      "url": "https://www.agentport.dev/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://www.agentport.dev/.well-known/mcp.json"
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://www.agentport.dev/.well-known/agent.json"
    },
    "count": 0
  },
  "snippets": [
    {
      "id": "add_llms_txt",
      "title": "Create /llms.txt",
      "description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
      "language": "markdown",
      "code": "# AgentPort\n\n> Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\n\n## Main\n- [AgentPort — MCP Infrastructure-as-a-Service](https://www.agentport.dev/): Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claud…\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_open_graph",
      "title": "Add missing Open Graph tags",
      "description": "Open Graph tags control how your page looks when shared on social media and how AI platforms preview your URL in answers.",
      "language": "html",
      "code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://www.agentport.dev/\">\n<meta property=\"og:type\" content=\"website\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://www.agentport.dev/\">\n<meta property=\"og:type\" content=\"website\">"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Quick Open Graph tags without a plugin (skip if Yoast / Rank Math is active)\nadd_action('wp_head', function () {\n    if (!is_singular()) return;\n    $post = get_queried_object();\n    $title = get_the_title($post);\n    $desc  = get_the_excerpt($post) ?: wp_trim_words(strip_tags($post->post_content), 30);\n    $image = get_the_post_thumbnail_url($post, 'large') ?: 'https://yoursite.com/og-image.jpg';\n    $url   = get_permalink($post);\n    printf('<meta property=\"og:title\" content=\"%s\">' . \"\\n\", esc_attr($title));\n    printf('<meta property=\"og:description\" content=\"%s\">' . \"\\n\", esc_attr($desc));\n    printf('<meta property=\"og:image\" content=\"%s\">' . \"\\n\", esc_url($image));\n    printf('<meta property=\"og:url\" content=\"%s\">' . \"\\n\", esc_url($url));\n    echo '<meta property=\"og:type\" content=\"article\">' . \"\\n\";\n}, 5);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page.tsx",
          "code": "// Next.js App Router — Metadata API\nimport type { Metadata } from 'next';\n\nexport const metadata: Metadata = {\n  title: \"AgentPort — MCP Infrastructure-as-a-Service\",\n  description: \"Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes.\",\n  openGraph: {\n    title: \"AgentPort — MCP Infrastructure-as-a-Service\",\n    description: \"Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes.\",\n    url: \"https://www.agentport.dev/\",\n    images: [\"https://yoursite.com/og-image.jpg\"],\n    type: 'website',\n  },\n};"
        }
      ]
    },
    {
      "id": "add_schema_org",
      "title": "Add Schema.org JSON-LD",
      "description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
      "language": "html",
      "code": "<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"WebPage\",\n  \"name\": \"AgentPort — MCP Infrastructure-as-a-Service\",\n  \"description\": \"Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\",\n  \"url\": \"https://www.agentport.dev/\",\n  \"inLanguage\": \"en\",\n  \"isPartOf\": {\n    \"@type\": \"WebSite\",\n    \"name\": \"AgentPort\"\n  }\n}\n</script>",
      "filename": "<head>"
    },
    {
      "id": "add_robots_txt",
      "title": "Create /robots.txt",
      "description": "A robots.txt file tells crawlers (including AI bots) what they can and cannot access.",
      "language": "txt",
      "code": "User-agent: *\nAllow: /\n\nSitemap: https://www.agentport.dev/sitemap.xml",
      "filename": "/robots.txt"
    },
    {
      "id": "add_sitemap",
      "title": "Create /sitemap.xml",
      "description": "A sitemap helps AI agents discover all your pages. Most CMS platforms generate one automatically.",
      "language": "xml",
      "code": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\n  <url>\n    <loc>https://www.agentport.dev/</loc>\n    <lastmod>2026-05-18</lastmod>\n  </url>\n</urlset>",
      "filename": "/sitemap.xml"
    },
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
      "language": "txt",
      "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
      "filename": "/robots.txt",
      "stacks": [
        {
          "id": "robots",
          "label": "robots.txt",
          "language": "txt",
          "filename": "/robots.txt",
          "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
        },
        {
          "id": "nginx",
          "label": "Nginx",
          "language": "nginx",
          "filename": "server block",
          "code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
        },
        {
          "id": "apache",
          "label": "Apache",
          "language": "apache",
          "filename": ".htaccess",
          "code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n    header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n    return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "middleware.ts",
          "code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n  const res = NextResponse.next();\n  res.headers.set(\n    'Content-Signal',\n    'search=yes, ai-input=yes, ai-train=no'\n  );\n  return res;\n}\nexport const config = { matcher: '/:path*' };"
        },
        {
          "id": "cloudflare",
          "label": "Cloudflare Workers",
          "language": "javascript",
          "filename": "worker.js",
          "code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n  async fetch(request, env, ctx) {\n    const res = await fetch(request);\n    const newRes = new Response(res.body, res);\n    newRes.headers.set(\n      'Content-Signal',\n      'search=yes, ai-input=yes, ai-train=no'\n    );\n    return newRes;\n  },\n};"
        },
        {
          "id": "express",
          "label": "Express / Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Express\napp.use((req, res, next) => {\n  res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n  reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  done();\n});"
        }
      ]
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
      "language": "html",
      "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        },
        {
          "id": "express",
          "label": "Express",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n  res.setHeader('Vary', 'Accept');\n  res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    res.type('text/markdown; charset=utf-8');\n    return res.send(renderMarkdown('page'));\n  }\n  res.render('page');\n});"
        },
        {
          "id": "fastify",
          "label": "Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n  reply.header('Vary', 'Accept');\n  reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n  }\n  return reply.view('/page.ejs');\n});"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page/route.ts",
          "code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n  const accept = req.headers.get('accept') || '';\n  if (accept.includes('text/markdown')) {\n    return new Response(await renderMarkdown('page'), {\n      headers: {\n        'Content-Type': 'text/markdown; charset=utf-8',\n        'Vary': 'Accept',\n      },\n    });\n  }\n  // Fall through to the page component\n  return new Response(null, { status: 404 });\n}"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n    if (!is_singular()) return;\n    $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n    if (strpos($accept, 'text/markdown') === false) return;\n    header('Content-Type: text/markdown; charset=utf-8');\n    header('Vary: Accept');\n    $post = get_queried_object();\n    echo \"# \" . get_the_title($post) . \"\\n\\n\";\n    echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n    exit;\n});"
        },
        {
          "id": "static",
          "label": "Hugo / Jekyll / Astro",
          "language": "txt",
          "filename": "static/page.md",
          "code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n#   <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        }
      ]
    }
  ]
}

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