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Server definition

Hash
sha256:6619a4dfbd43711d972ddbeac7597b03c6de39891972e448cc994c154923b3d3
What it is
What a remote MCP server returned when asked what it offers: 2 tools

The blob, as servednamed by its sha256

{ "instructions": "This MCP server exposes the canonical \"assess_ai_recommendation_readiness\" tool. Call tools/list to discover it, then tools/call with businessSize, dataMaturity, technicalStack, and optional goals.", "tools": [ { "description": "Assesses whether a business is ready to be understood, verified, trusted, recommended, and used by AI systems, based on structured inputs (business size, data availability/maturity, technical stack/infrastructure, and goals). Returns a readiness score, tier, gap analysis, priority actions, and a phased implementation roadmap. Deterministic and read-only: it performs no consequential actions and does not guarantee any ranking or recommendation.", "inputSchema": { "properties": { "businessName": { "description": "Optional, non-sensitive business name for context.", "type": "string" }, "businessSize": { "description": "Size of the business/organization.", "enum": [ "solo", "micro", "small", "midmarket", "enterprise" ], "type": "string" }, "dataMaturity": { "description": "Availability and maturity of the structured/machine-readable data of the business.", "enum": [ "none", "basic", "developing", "structured", "advanced" ], "type": "string" }, "goals": { "default": [ "ai_visibility" ], "description": "One or more readiness goals the business wants to prioritize (1–8, unique values from the enum).", "items": { "enum": [ "ai_visibility", "lead_generation", "trust_authority", "content_coverage", "conversion_optimization", "structured_data", "agent_readiness", "reputation_management" ], "type": "string" }, "maxItems": 8, "minItems": 1, "type": "array", "uniqueItems": true }, "industry": { "description": "Optional industry/category for context.", "type": "string" }, "technicalStack": { "description": "Technical stack / infrastructure sophistication.", "enum": [ "minimal", "standard", "modern", "advanced" ], "type": "string" } }, "required": [ "businessSize", "dataMaturity", "technicalStack" ], "type": "object" }, "name": "assess_ai_recommendation_readiness", "outputSchema": { "additionalProperties": true, "properties": { "dimensionScores": { "description": "Per-dimension breakdown of the overall score.", "items": { "additionalProperties": true, "properties": { "key": { "description": "Dimension identifier.", "type": "string" }, "label": { "description": "Human-readable dimension name.", "type": "string" }, "score": { "description": "Dimension score (0–100).", "maximum": 100, "minimum": 0, "type": "number" }, "weight": { "description": "Weight of this dimension in the overall score.", "maximum": 1, "minimum": 0, "type": "number" } }, "required": [ "key", "label", "score", "weight" ], "type": "object" }, "type": "array" }, "disclaimer": { "description": "Educational-use disclaimer.", "type": "string" }, "engineVersion": { "description": "Version of the deterministic scoring engine.", "type": "string" }, "gapAnalysis": { "description": "Identified gaps between current and target readiness.", "items": { "additionalProperties": true, "properties": { "area": { "description": "Gap area / dimension.", "type": "string" }, "description": { "description": "Explanation of the gap.", "type": "string" }, "severity": { "description": "Severity of the gap.", "enum": [ "low", "moderate", "high", "critical" ], "type": "string" } }, "required": [ "area", "severity", "description" ], "type": "object" }, "type": "array" }, "implementationRoadmap": { "description": "Phased implementation roadmap.", "items": { "additionalProperties": true, "properties": { "actions": { "description": "Actions within the phase.", "items": { "type": "string" }, "type": "array" }, "focus": { "description": "Primary focus of the phase.", "type": "string" }, "phase": { "description": "Phase name.", "type": "string" } }, "required": [ "phase" ], "type": "object" }, "type": "array" }, "normalizedInputs": { "additionalProperties": true, "description": "The normalized inputs actually used for scoring.", "properties": { "businessSize": { "type": "string" }, "dataMaturity": { "type": "string" }, "goals": { "items": { "type": "string" }, "type": "array" }, "technicalStack": { "type": "string" } }, "type": "object" }, "priorityActions": { "description": "Prioritized recommended actions.", "items": { "additionalProperties": true, "properties": { "detail": { "description": "Action detail / rationale.", "type": "string" }, "effort": { "description": "Estimated effort.", "enum": [ "low", "medium", "high" ], "type": "string" }, "impact": { "description": "Estimated impact.", "enum": [ "low", "medium", "high" ], "type": "string" }, "title": { "description": "Short action title.", "type": "string" } }, "required": [ "title" ], "type": "object" }, "type": "array" }, "readinessScore": { "description": "Overall AI recommendation readiness score (0–100).", "maximum": 100, "minimum": 0, "type": "number" }, "tier": { "additionalProperties": false, "properties": { "level": { "description": "Tier level (1–4).", "maximum": 4, "minimum": 1, "type": "integer" }, "name": { "description": "Readiness tier name.", "enum": [ "Foundational", "Developing", "Established", "Optimized" ], "type": "string" }, "summary": { "description": "Plain-language summary of the tier.", "type": "string" } }, "required": [ "level", "name", "summary" ], "type": "object" }, "tool": { "description": "Canonical tool identifier.", "type": "string" } }, "required": [ "readinessScore", "tier", "dimensionScores", "gapAnalysis", "priorityActions", "normalizedInputs", "disclaimer" ], "type": "object" } }, { "description": "Returns the AI Recommendation Readiness scoring framework: the scored dimensions and their weights, the four readiness tiers with score ranges, and every valid input option (business sizes, data maturity levels, technical stacks, and goals). Read-only and deterministic; use it to understand how the assessment is scored and to build valid inputs for assess_ai_recommendation_readiness.", "inputSchema": { "additionalProperties": false, "properties": {}, "type": "object" }, "name": "get_ai_readiness_framework", "outputSchema": { "additionalProperties": false, "properties": { "dimensions": { "items": { "additionalProperties": false, "properties": { "key": { "type": "string" }, "label": { "type": "string" }, "weight": { "maximum": 1, "minimum": 0, "type": "number" } }, "required": [ "key", "label", "weight" ], "type": "object" }, "type": "array" }, "disclaimer": { "type": "string" }, "engineVersion": { "type": "string" }, "inputOptions": { "additionalProperties": false, "properties": { "businessSize": { "items": { "type": "string" }, "type": "array" }, "dataMaturity": { "items": { "type": "string" }, "type": "array" }, "goals": { "items": { "type": "string" }, "type": "array" }, "technicalStack": { "items": { "type": "string" }, "type": "array" } }, "required": [ "businessSize", "dataMaturity", "technicalStack", "goals" ], "type": "object" }, "tiers": { "items": { "additionalProperties": false, "properties": { "level": { "maximum": 4, "minimum": 1, "type": "integer" }, "name": { "type": "string" }, "scoreRange": { "type": "string" } }, "required": [ "level", "name", "scoreRange" ], "type": "object" }, "type": "array" } }, "required": [ "engineVersion", "dimensions", "tiers", "inputOptions", "disclaimer" ], "type": "object" } } ] }
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