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{\n version: string;\n standard: string;\n url: string;\n title: string;\n language: string;\n generatedAt: number;\n agentReady: {\n level: string;\n score: number;\n checks: Array<{ id: string; name: string; passed: boolean }>;\n failures: Array<{ id: string; name: string; message: string; severity?: string }>;\n };\n root: SerializableNode;\n landmarks: Array<{ id: string; role: string; label: string }>;\n interactables: Array<{ id: string; role: string; label: string; intent?: string }>;\n stateGraph: Array<{\n id: string;\n state: string;\n transitions: Array<{ from: string; to: string; trigger: string }>;\n }>;\n}\n\n/**\n * Convert SemanticNode to serializable format\n */\nfunction serializeNode(node: SemanticNode): SerializableNode {\n return {\n id: node.id,\n role: node.role,\n label: node.label,\n intent: node.intent,\n state: node.state,\n selector: node.selector,\n xpath: node.xpath,\n a11y: {\n name: node.a11y.name,\n focusable: node.a11y.focusable,\n inTabOrder: node.a11y.inTabOrder,\n level: node.a11y.level,\n },\n children: node.children.map(serializeNode),\n value: node.value,\n };\n}\n\n/**\n * Convert SemanticDocument to serializable format\n */\nfunction serializeDocument(doc: SemanticDocument): SerializableDocument {\n const stateGraphArray: SerializableDocument['stateGraph'] = [];\n\n doc.stateGraph.forEach((ssgNode, id) => {\n stateGraphArray.push({\n id,\n state: ssgNode.currentState,\n transitions: ssgNode.transitions.map((t) => ({\n from: t.from,\n to: t.to,\n trigger: typeof t.trigger === 'string' ? t.trigger : String(t.trigger),\n })),\n });\n });\n\n return {\n version: doc.version,\n standard: doc.standard,\n url: doc.url,\n title: doc.title,\n language: doc.language,\n generatedAt: doc.generatedAt,\n agentReady: {\n level: doc.agentReady.level,\n score: doc.agentReady.score,\n checks: doc.agentReady.checks.map((c) => ({\n id: c.id,\n name: c.name,\n passed: c.passed,\n })),\n failures: doc.agentReady.failures.map((f) => ({\n id: f.id,\n name: f.name,\n message: f.message,\n severity: f.severity,\n })),\n },\n root: serializeNode(doc.root),\n landmarks: doc.landmarks.map((l) => ({\n id: l.id,\n role: l.role,\n label: l.label,\n })),\n interactables: doc.interactables.map((i) => ({\n id: i.id,\n role: i.role,\n label: i.label,\n intent: i.intent,\n })),\n stateGraph: stateGraphArray,\n };\n}\n\n/**\n * Encode SemanticDocument to TOON format\n *\n * @param document - SemanticDocument to encode\n * @param options - TOON encoding options\n * @returns TOON formatted string\n *\n * @example\n * ```ts\n * const toon = toTOON(document);\n * // Saves ~40-50% tokens vs JSON\n * ```\n */\nexport function toTOON(document: SemanticDocument, options?: EncodeOptions): string {\n const serializable = serializeDocument(document);\n return encode(serializable, {\n indent: 2,\n keyFolding: 'safe',\n ...options,\n });\n}\n\n/**\n * Decode TOON string to partial SemanticDocument data\n *\n * Note: Returns plain object structure, not full SemanticDocument with Map indexes.\n * Use this for reading TOON data; create fresh SemanticDocument via parse() for full functionality.\n *\n * @param toon - TOON formatted string\n * @param options - TOON decoding options\n * @returns Decoded document data\n */\nexport function fromTOON(toon: string, options?: DecodeOptions): SerializableDocument {\n return decode(toon, {\n strict: true,\n expandPaths: 'safe',\n ...options,\n }) as unknown as SerializableDocument;\n}\n\n/**\n * Encode just the semantic tree (nodes only) to TOON\n * Useful for passing to LLMs when you only need structure\n *\n * @param root - Root SemanticNode\n * @returns TOON formatted string of just the tree\n */\nexport function treeToTOON(root: SemanticNode, options?: EncodeOptions): string {\n return encode(serializeNode(root), {\n indent: 2,\n keyFolding: 'safe',\n ...options,\n });\n}\n\n/**\n * Encode landmarks array to TOON (compact format)\n *\n * @param landmarks - Array of landmark nodes\n * @returns TOON formatted string\n */\nexport function landmarksToTOON(landmarks: SemanticNode[], options?: EncodeOptions): string {\n const data = landmarks.map((l) => ({\n id: l.id,\n role: l.role,\n label: l.label,\n selector: l.selector,\n }));\n return encode({ landmarks: data }, options);\n}\n\n/**\n * Encode interactables array to TOON (compact format)\n *\n * @param interactables - Array of interactive nodes\n * @returns TOON formatted string\n */\nexport function interactablesToTOON(interactables: SemanticNode[], options?: EncodeOptions): string {\n const data = interactables.map((i) => ({\n id: i.id,\n role: i.role,\n label: i.label,\n intent: i.intent,\n state: i.state,\n selector: i.selector,\n }));\n return encode({ interactables: data }, options);\n}\n\n/**\n * Encode state graph to TOON\n *\n * @param stateGraph - Map of SSG nodes\n * @returns TOON formatted string\n */\nexport function stateGraphToTOON(\n stateGraph: Map,\n options?: EncodeOptions\n): string {\n const nodes: Array<{\n id: string;\n state: string;\n transitions: Array<{ from: string; to: string; trigger: string }>;\n }> = [];\n\n stateGraph.forEach((node, id) => {\n nodes.push({\n id,\n state: node.currentState,\n transitions: node.transitions.map((t) => ({\n from: t.from,\n to: t.to,\n trigger: String(t.trigger),\n })),\n });\n });\n\n return encode({ stateGraph: nodes }, options);\n}\n\n/**\n * Encode certification report to TOON\n *\n * @param certification - AgentCertification object\n * @returns TOON formatted string\n */\nexport function certificationToTOON(\n certification: AgentCertification,\n options?: EncodeOptions\n): string {\n return encode(\n {\n level: certification.level,\n score: certification.score,\n passed: certification.checks.map((c) => c.name),\n failed: certification.failures.map((f) => ({\n name: f.name,\n severity: f.severity,\n message: f.message,\n })),\n },\n options\n );\n}\n\n/**\n * Calculate token savings estimate\n *\n * @param document - SemanticDocument to analyze\n * @returns Token comparison stats\n */\nexport function estimateTokenSavings(document: SemanticDocument): {\n jsonTokens: number;\n toonTokens: number;\n savings: number;\n savingsPercent: number;\n} {\n const serializable = serializeDocument(document);\n const jsonStr = JSON.stringify(serializable, null, 2);\n const toonStr = toTOON(document);\n\n // Rough token estimate: ~4 chars per token for English text\n const jsonTokens = Math.ceil(jsonStr.length / 4);\n const toonTokens = Math.ceil(toonStr.length / 4);\n const savings = jsonTokens - toonTokens;\n const savingsPercent = Math.round((savings / jsonTokens) * 100);\n\n return {\n jsonTokens,\n toonTokens,\n savings,\n savingsPercent,\n };\n}\n\n// Re-export TOON types for convenience\nexport type { EncodeOptions, DecodeOptions } from '@toon-format/toon';\n","/**\n * MCP (Model Context Protocol) Server for SemanticDOM\n * Exposes SemanticDOM/SSG as MCP Resources and Tools\n *\n * Compatible with the Linux Foundation's Model Context Protocol standard\n * @see https://modelcontextprotocol.io/specification\n *\n * @packageDocumentation\n */\n\nimport type {\n SemanticDocument,\n SemanticId,\n} from '../core/types.js';\nimport { toTOON, treeToTOON, landmarksToTOON, interactablesToTOON, stateGraphToTOON } from '../toon/index.js';\n\n/**\n * MCP Resource descriptor for SemanticDOM\n */\nexport interface MCPResource {\n uri: string;\n mimeType: string;\n name: string;\n description?: string;\n}\n\n/**\n * MCP Tool descriptor\n */\nexport interface MCPTool {\n name: string;\n description: string;\n inputSchema: {\n type: 'object';\n properties: Record;\n required?: string[];\n };\n}\n\n/**\n * MCP Tool call result\n */\nexport interface MCPToolResult {\n content: Array<{\n type: 'text' | 'resource';\n text?: string;\n resource?: MCPResource;\n }>;\n isError?: boolean;\n}\n\n/**\n * MCP Prompt descriptor\n */\nexport interface MCPPrompt {\n name: string;\n description: string;\n arguments?: Array<{\n name: string;\n description: string;\n required?: boolean;\n }>;\n}\n\n/**\n * SemanticDOM MCP Server capabilities\n */\nexport interface SemanticDOMMCPCapabilities {\n resources: MCPResource[];\n tools: MCPTool[];\n prompts: MCPPrompt[];\n}\n\n/**\n * Create MCP resource from SemanticDocument\n */\nexport function createResource(\n document: SemanticDocument,\n format: 'json' | 'toon' = 'toon'\n): MCPResource {\n return {\n uri: `semantic-dom://${new URL(document.url).hostname}${new URL(document.url).pathname}`,\n mimeType: format === 'toon' ? 'application/toon' : 'application/json',\n name: document.title || 'SemanticDOM Document',\n description: `SemanticDOM structure with ${document.landmarks.length} landmarks, ${document.interactables.length} interactables. Agent certification: ${document.agentReady.level} (${document.agentReady.score}/100)`,\n };\n}\n\n/**\n * Get available MCP tools for SemanticDOM operations\n */\nexport function getTools(): MCPTool[] {\n return [\n {\n name: 'semantic_query',\n description: 'Query element by semantic ID with O(1) lookup time. Returns element details including role, label, state, and accessibility info.',\n inputSchema: {\n type: 'object',\n properties: {\n id: {\n type: 'string',\n description: 'Semantic ID of the element (e.g., \"nav-main\", \"btn-submit\")',\n },\n },\n required: ['id'],\n },\n },\n {\n name: 'semantic_navigate',\n description: 'Navigate to a landmark region. Returns landmark details and its interactive children.',\n inputSchema: {\n type: 'object',\n properties: {\n landmark: {\n type: 'string',\n description: 'Landmark role or ID (e.g., \"main\", \"navigation\", \"nav-primary\")',\n },\n },\n required: ['landmark'],\n },\n },\n {\n name: 'semantic_interact',\n description: 'Get interaction details for an element. Returns intent, state, available actions, and CSS selector for automation.',\n inputSchema: {\n type: 'object',\n properties: {\n id: {\n type: 'string',\n description: 'Semantic ID of the interactive element',\n },\n },\n required: ['id'],\n },\n },\n {\n name: 'semantic_list_landmarks',\n description: 'List all landmark regions on the page for navigation overview.',\n inputSchema: {\n type: 'object',\n properties: {},\n },\n },\n {\n name: 'semantic_list_interactables',\n description: 'List all interactive elements (buttons, links, inputs) with their intents.',\n inputSchema: {\n type: 'object',\n properties: {\n filter: {\n type: 'string',\n description: 'Optional filter by role (e.g., \"button\", \"link\", \"textbox\")',\n },\n },\n },\n },\n {\n name: 'semantic_state_graph',\n description: 'Get the Semantic State Graph showing all stateful elements and their possible state transitions.',\n inputSchema: {\n type: 'object',\n properties: {\n id: {\n type: 'string',\n description: 'Optional: filter to specific element ID',\n },\n },\n },\n },\n {\n name: 'semantic_certification',\n description: 'Get agent certification status including level, score, and any failed checks.',\n inputSchema: {\n type: 'object',\n properties: {},\n },\n },\n ];\n}\n\n/**\n * Get available MCP prompts for SemanticDOM\n */\nexport function getPrompts(): MCPPrompt[] {\n return [\n {\n name: 'analyze_page',\n description: 'Analyze page structure and provide navigation guidance',\n arguments: [\n {\n name: 'goal',\n description: 'What the user wants to accomplish on this page',\n required: true,\n },\n ],\n },\n {\n name: 'find_element',\n description: 'Find the best element to interact with for a given task',\n arguments: [\n {\n name: 'task',\n description: 'Description of what you want to do (e.g., \"submit the form\", \"navigate to settings\")',\n required: true,\n },\n ],\n },\n {\n name: 'automation_plan',\n description: 'Generate a step-by-step automation plan using semantic IDs',\n arguments: [\n {\n name: 'workflow',\n description: 'Description of the workflow to automate',\n required: true,\n },\n ],\n },\n ];\n}\n\n/**\n * Execute MCP tool call\n */\nexport function executeTool(\n document: SemanticDocument,\n toolName: string,\n args: Record\n): MCPToolResult {\n switch (toolName) {\n case 'semantic_query': {\n const id = args.id as string;\n const node = document.index.get(id as SemanticId);\n if (!node) {\n return {\n content: [{ type: 'text', text: `Element not found: ${id}` }],\n isError: true,\n };\n }\n return {\n content: [{\n type: 'text',\n text: treeToTOON(node),\n }],\n };\n }\n\n case 'semantic_navigate': {\n const landmark = args.landmark as string;\n const found = document.landmarks.find(\n (l) => l.role === landmark || l.id === landmark\n );\n if (!found) {\n return {\n content: [{ type: 'text', text: `Landmark not found: ${landmark}` }],\n isError: true,\n };\n }\n return {\n content: [{\n type: 'text',\n text: treeToTOON(found),\n }],\n };\n }\n\n case 'semantic_interact': {\n const id = args.id as string;\n const node = document.index.get(id as SemanticId);\n if (!node) {\n return {\n content: [{ type: 'text', text: `Element not found: ${id}` }],\n isError: true,\n };\n }\n const ssgNode = document.stateGraph.get(id as SemanticId);\n return {\n content: [{\n type: 'text',\n text: JSON.stringify({\n id: node.id,\n role: node.role,\n label: node.label,\n intent: node.intent,\n state: node.state,\n selector: node.selector,\n xpath: node.xpath,\n a11y: node.a11y,\n stateGraph: ssgNode ? {\n currentState: ssgNode.currentState,\n transitions: ssgNode.transitions,\n } : null,\n }, null, 2),\n }],\n };\n }\n\n case 'semantic_list_landmarks': {\n return {\n content: [{\n type: 'text',\n text: landmarksToTOON(document.landmarks),\n }],\n };\n }\n\n case 'semantic_list_interactables': {\n const filter = args.filter as string | undefined;\n let interactables = document.interactables;\n if (filter) {\n interactables = interactables.filter((i) => i.role === filter);\n }\n return {\n content: [{\n type: 'text',\n text: interactablesToTOON(interactables),\n }],\n };\n }\n\n case 'semantic_state_graph': {\n const id = args.id as SemanticId | undefined;\n if (id) {\n const node = document.stateGraph.get(id);\n if (!node) {\n return {\n content: [{ type: 'text', text: `State graph node not found: ${id}` }],\n isError: true,\n };\n }\n return {\n content: [{\n type: 'text',\n text: JSON.stringify({\n id,\n currentState: node.currentState,\n transitions: node.transitions,\n }, null, 2),\n }],\n };\n }\n return {\n content: [{\n type: 'text',\n text: stateGraphToTOON(document.stateGraph),\n }],\n };\n }\n\n case 'semantic_certification': {\n return {\n content: [{\n type: 'text',\n text: JSON.stringify(document.agentReady, null, 2),\n }],\n };\n }\n\n default:\n return {\n content: [{ type: 'text', text: `Unknown tool: ${toolName}` }],\n isError: true,\n };\n }\n}\n\n/**\n * Get full MCP capabilities for SemanticDOM\n */\nexport function getCapabilities(document: SemanticDocument): SemanticDOMMCPCapabilities {\n return {\n resources: [createResource(document, 'toon')],\n tools: getTools(),\n prompts: getPrompts(),\n };\n}\n\n/**\n * Serialize document for MCP resource response\n */\nexport function serializeForMCP(\n document: SemanticDocument,\n format: 'json' | 'toon' = 'toon'\n): string {\n if (format === 'toon') {\n return toTOON(document);\n }\n return JSON.stringify({\n version: document.version,\n standard: document.standard,\n url: document.url,\n title: document.title,\n agentReady: document.agentReady,\n landmarks: document.landmarks.map((l) => ({ id: l.id, role: l.role, label: l.label })),\n interactables: document.interactables.map((i) => ({\n id: i.id,\n role: i.role,\n label: i.label,\n intent: i.intent,\n })),\n }, null, 2);\n}\n\n/**\n * MCP Server Info for SemanticDOM\n */\nexport const SERVER_INFO = {\n name: 'semantic-dom-ssg',\n version: '0.1.0',\n protocolVersion: '2024-11-05',\n capabilities: {\n resources: { subscribe: false, listChanged: true },\n tools: {},\n prompts: { listChanged: false },\n },\n};\n"]}