Commerce Intelligence

{
  "protocolVersion": "0.3.0",
  "name": "Commerce Intelligence",
  "description": "Commerce intelligence for AI agents. Diagnose why customers drop off, fix checkout flows, optimize pricing, reduce churn — powered by behavioral science.",
  "author": "Phos Labs",
  "wellKnownURI": "https://mcp.phoslabs.io/.well-known/agent.json",
  "url": "https://mcp.phoslabs.io/",
  "version": "4.0.1",
  "provider": {
    "organization": "Phos Labs",
    "url": "https://phoslabs.io/"
  },
  "documentationUrl": "https://phoslabs.io/credits",
  "iconUrl": null,
  "supportsAuthenticatedExtendedCard": null,
  "security": [],
  "securitySchemes": {},
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false,
    "extensions": null
  },
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "application/json"
  ],
  "skills": [
    {
      "id": "write-product-copy",
      "name": "Write Converting Product Copy",
      "description": "Write product descriptions, landing page copy, or marketing messages that convert — using social proof, loss framing, anchoring, and scarcity signals.",
      "tags": [
        "copywriting",
        "conversion",
        "product",
        "marketing",
        "persuasion"
      ],
      "examples": [
        "Write a product description for our SaaS tool that increases trial signups",
        "Rewrite this landing page to convert better",
        "Write persuasive copy for our pricing page"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "diagnose-dropoff",
      "name": "Diagnose Customer Drop-off",
      "description": "Find where and why customers abandon your funnel. Analyzes each step for statistically significant drop-offs and identifies the behavioral barrier at each point.",
      "tags": [
        "conversion",
        "funnel",
        "abandonment",
        "checkout",
        "diagnosis"
      ],
      "examples": [
        "Why are customers abandoning at checkout?",
        "Diagnose our signup funnel drop-off",
        "Where in our onboarding flow do users quit?"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "find-hidden-barriers",
      "name": "Find Hidden Barriers",
      "description": "Identify what is really blocking customers from converting: not what they say, but the actual capability gaps, missing motivation, and environmental friction.",
      "tags": [
        "conversion",
        "barriers",
        "diagnosis",
        "motivation",
        "friction"
      ],
      "examples": [
        "Why do visitors who like our product still not sign up?",
        "What is really stopping customers from upgrading to the paid plan?",
        "Find the hidden barriers in our free-to-paid conversion"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "fix-checkout",
      "name": "Fix Checkout Flow",
      "description": "Redesign a checkout, signup, or purchase flow to reduce abandonment. Returns a step-by-step redesigned flow with behavioral principles applied.",
      "tags": [
        "checkout",
        "redesign",
        "conversion",
        "friction",
        "UX"
      ],
      "examples": [
        "Redesign our checkout to reduce cart abandonment",
        "Fix our signup flow — too many people drop off at step 3",
        "Optimize our payment page for conversion"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "optimize-onboarding",
      "name": "Optimize Onboarding",
      "description": "Reduce time-to-value for new signups. Identifies onboarding friction and designs a flow that gets users to their 'aha moment' faster.",
      "tags": [
        "onboarding",
        "activation",
        "retention",
        "time-to-value",
        "friction"
      ],
      "examples": [
        "Our new users never finish setup. Redesign our onboarding",
        "Shorten the time to first value in our app",
        "Which onboarding steps should we cut?"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "predict-churn",
      "name": "Predict Customer Churn",
      "description": "Identify which customers are about to leave and why. Returns churn risk scores with behavioral drivers and retention interventions.",
      "tags": [
        "churn",
        "retention",
        "subscription",
        "loyalty",
        "engagement"
      ],
      "examples": [
        "Which users are most likely to cancel?",
        "Predict churn risk for our subscriber base",
        "Why are customers leaving after month 3?"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "detect-biases",
      "name": "Detect Cognitive Biases",
      "description": "Find cognitive biases in your messaging, UX copy, or product framing. Returns biases found with severity and debiasing recommendations.",
      "tags": [
        "biases",
        "messaging",
        "copy",
        "framing",
        "UX"
      ],
      "examples": [
        "Check this landing page copy for cognitive biases",
        "Does our pricing page framing mislead or backfire?",
        "Review this email for bias and framing problems"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "optimize-pricing",
      "name": "Optimize Pricing Strategy",
      "description": "Design price framing, anchoring, and tier structure to maximize willingness to pay. Includes decoy pricing analysis and value articulation.",
      "tags": [
        "pricing",
        "anchoring",
        "willingness-to-pay",
        "tiers",
        "revenue"
      ],
      "examples": [
        "How should we structure our pricing tiers?",
        "Optimize our pricing page for higher ARPU",
        "Design a pricing strategy with decoy options"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    }
  ],
  "conformance": true,
  "conformance_errors": null,
  "homepage": null,
  "repository": null,
  "license": null,
  "pricing": null,
  "contact": null,
  "id": "5041fd95-3c09-49a4-b3fb-17e58ed41641",
  "category": "commerce-marketing",
  "category_secondary": null
}