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* MCP Resources - Val Town resources exposed through MCP\n */\n\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { readFile, listFiles } from \"https://esm.town/v/std/utils@85-main/index.ts\";\nimport { MCPResource } from \"./types.ts\";\nimport { MCPException, MCP_ERRORS } from \"../../shared/utils.ts\";\n\nexport async function listResources(): Promise {\n const resources: MCPResource[] = [];\n \n try {\n // Add blob storage resources\n const blobKeys = await blob.list(\"\");\n for (const key of blobKeys) {\n resources.push({\n uri: `blob://${key}`,\n name: `Blob: ${key}`,\n description: `Val Town blob storage item: ${key}`,\n mimeType: \"application/json\"\n });\n }\n } catch (error) {\n // Continue if blob listing fails\n }\n \n try {\n // Add project files as resources\n const files = await listFiles(import.meta.url);\n for (const file of files) {\n const mimeType = getMimeType(file);\n resources.push({\n uri: `file://${file}`,\n name: `File: ${file}`,\n description: `Project file: ${file}`,\n mimeType\n });\n }\n } catch (error) {\n // Continue if file listing fails\n }\n \n // Add database schema as a resource\n resources.push({\n uri: \"sqlite://schema\",\n name: \"SQLite Schema\",\n description: \"Database schema information\",\n mimeType: \"application/json\"\n });\n \n // Add environment info as a resource\n resources.push({\n uri: \"env://info\",\n name: \"Environment Info\",\n description: \"Available environment variables (names only)\",\n mimeType: \"application/json\"\n });\n \n return resources;\n}\n\nexport async function readResource(uri: string): Promise<{ contents: Array<{ uri: string; mimeType?: string; text?: string }> }> {\n const [scheme, path] = uri.split(\"://\", 2);\n \n switch (scheme) {\n case \"blob\":\n return await readBlobResource(path);\n case \"file\":\n return await readFileResource(path);\n case \"sqlite\":\n return await readSqliteResource(path);\n case \"env\":\n return await readEnvResource(path);\n default:\n throw new MCPException(MCP_ERRORS.RESOURCE_NOT_FOUND, `Unknown resource scheme: ${scheme}`);\n }\n}\n\nasync function readBlobResource(key: string): Promise<{ contents: Array<{ uri: string; mimeType?: string; text?: string }> }> {\n try {\n const value = await blob.getJSON(key);\n return {\n contents: [{\n uri: `blob://${key}`,\n mimeType: \"application/json\",\n text: JSON.stringify(value, null, 2)\n }]\n };\n } catch (error) {\n // Try as text if JSON fails\n try {\n const value = await blob.get(key);\n return {\n contents: [{\n uri: `blob://${key}`,\n mimeType: \"text/plain\",\n text: value\n }]\n };\n } catch (textError) {\n throw new MCPException(MCP_ERRORS.RESOURCE_NOT_FOUND, `Blob not found: ${key}`);\n }\n }\n}\n\nasync function readFileResource(path: string): Promise<{ contents: Array<{ uri: string; mimeType?: string; text?: string }> }> {\n try {\n const content = await readFile(path, 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Val Town MCP Server\n\nA Model Context Protocol (MCP) server that exposes Val Town's native tools and resources, allowing AI models to interact with Val Town's capabilities through a standardized protocol.\n\n## Features\n\n- **Blob Storage**: Read, write, list, and delete blob data\n- **SQLite Database**: Execute queries and manage database operations\n- **Email**: Send emails through Val Town's email service\n- **OpenAI Integration**: Access OpenAI API through Val Town's service\n- **File Operations**: Read and list project files\n- **Environment Variables**: Access environment configuration\n\n## MCP Protocol Support\n\nThis server implements the Model Context Protocol specification, providing:\n- Tool discovery and execution\n- Resource listing and reading\n- Proper error handling and validation\n- JSON-RPC 2.0 compliant messaging\n\n## API Endpoints\n\n- `POST /mcp` - Main MCP protocol endpoint\n- `GET /` - Server information and documentation\n\n## Usage\n\nThe server exposes Val Town capabilities as MCP tools that can be called by compatible AI models and clients.\n\n## Project Structure\n\n```\n├── backend/\n│ ├── index.ts # Main HTTP server\n│ ├── mcp/\n│ │ ├── server.ts # MCP protocol handler\n│ │ ├── tools.ts # Tool definitions and handlers\n│ │ ├── resources.ts # Resource definitions and handlers\n│ │ └── types.ts # MCP type definitions\n│ └── README.md\n├── shared/\n│ └── utils.ts # Shared utilities\n└── 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* Shared utilities for the MCP server\n */\n\nexport interface MCPError {\n code: number;\n message: string;\n data?: any;\n}\n\nexport class MCPException extends Error {\n code: number;\n data?: any;\n\n constructor(code: number, message: string, data?: any) {\n super(message);\n this.code = code;\n this.data = data;\n this.name = 'MCPException';\n }\n}\n\n// MCP Error Codes\nexport const MCP_ERRORS = {\n PARSE_ERROR: -32700,\n INVALID_REQUEST: -32600,\n METHOD_NOT_FOUND: -32601,\n INVALID_PARAMS: -32602,\n INTERNAL_ERROR: -32603,\n TOOL_NOT_FOUND: -32000,\n RESOURCE_NOT_FOUND: -32001,\n PERMISSION_DENIED: -32002,\n} as const;\n\nexport function validateRequired(params: any, required: string[]): void {\n for (const field of required) {\n if (params[field] === undefined || params[field] === null) {\n throw new MCPException(\n MCP_ERRORS.INVALID_PARAMS,\n `Missing required parameter: ${field}`\n );\n }\n }\n}\n\nexport function sanitizeKey(key: string): string {\n // Ensure blob keys are safe\n return key.replace(/[^a-zA-Z0-9_\\-\\.\\/]/g, '_');\n}",[],[140,175],["D",1748467325043],[168],[140],"d20c1ac0-3c09-11f0-b62a-9e149126039e","types.ts","d20c1be2-3c09-11f0-b62a-9e149126039e","1fef3adc-7b8f-4194-b683-4677cd81a45e",["D",1748467332476],"/**\n * MCP Protocol Type Definitions\n */\n\nexport interface MCPRequest {\n jsonrpc: \"2.0\";\n id?: string | number;\n method: string;\n params?: any;\n}\n\nexport interface MCPResponse {\n jsonrpc: \"2.0\";\n id?: string | number;\n result?: any;\n error?: MCPError;\n}\n\nexport interface MCPError {\n code: number;\n message: string;\n data?: any;\n}\n\nexport interface MCPTool {\n name: string;\n description: string;\n inputSchema: {\n type: \"object\";\n properties: Record;\n required?: string[];\n };\n}\n\nexport interface MCPResource {\n uri: string;\n name: string;\n description?: string;\n mimeType?: string;\n}\n\nexport interface MCPToolCall {\n name: string;\n arguments: Record;\n}\n\nexport interface MCPToolResult {\n content: Array<{\n type: \"text\" | \"image\" | \"resource\";\n text?: string;\n data?: string;\n mimeType?: string;\n }>;\n isError?: boolean;\n}\n\n// Server Info\nexport interface MCPServerInfo {\n name: string;\n version: string;\n protocolVersion: string;\n capabilities: {\n tools?: {};\n resources?: {};\n prompts?: {};\n logging?: {};\n };\n}",[],[147,192,185],"mcp","e81d8ae2-3c09-11f0-a538-9e149126039e","tools.ts","e81d8b96-3c09-11f0-a538-9e149126039e",4,["D",1748467369504],"/**\n * MCP Tools - Val Town capabilities exposed as MCP tools\n */\n\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { email } from \"https://esm.town/v/std/email\";\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nimport { readFile, listFiles } from \"https://esm.town/v/std/utils@85-main/index.ts\";\nimport { MCPTool, MCPToolResult } from \"./types.ts\";\nimport { validateRequired, sanitizeKey, MCPException, MCP_ERRORS } from \"../../shared/utils.ts\";\n\nexport const TOOLS: MCPTool[] = [\n {\n name: \"blob_get\",\n description: \"Get data from Val Town blob storage\",\n inputSchema: {\n type: \"object\",\n properties: {\n key: { type: \"string\", description: \"The blob key to retrieve\" },\n type: { type: \"string\", enum: [\"json\", \"text\"], default: \"json\", description: \"Data type to retrieve\" }\n },\n required: [\"key\"]\n }\n },\n {\n name: \"blob_set\",\n description: \"Store data in Val Town blob storage\",\n inputSchema: {\n type: \"object\",\n properties: {\n key: { type: \"string\", description: \"The blob key to store data under\" },\n value: { description: \"The data to store\" },\n type: { type: \"string\", enum: [\"json\", \"text\"], default: \"json\", description: \"Data type to store\" }\n },\n required: [\"key\", \"value\"]\n }\n },\n {\n name: \"blob_list\",\n description: \"List blob keys with optional prefix filter\",\n inputSchema: {\n type: \"object\",\n properties: {\n prefix: { type: \"string\", description: \"Optional prefix to filter keys\" }\n }\n }\n },\n {\n name: \"blob_delete\",\n description: \"Delete a blob from storage\",\n inputSchema: {\n type: \"object\",\n properties: {\n key: { type: \"string\", description: \"The blob key to delete\" }\n },\n required: [\"key\"]\n }\n },\n {\n name: \"sqlite_execute\",\n description: \"Execute a SQLite query\",\n inputSchema: {\n type: \"object\",\n properties: {\n query: { type: \"string\", description: \"SQL query to execute\" },\n params: { type: \"array\", description: \"Query parameters\", items: {} }\n },\n required: [\"query\"]\n }\n },\n {\n name: \"email_send\",\n description: \"Send an email through Val Town\",\n inputSchema: {\n type: \"object\",\n properties: {\n to: { type: \"string\", description: \"Recipient email address (optional, defaults to val owner)\" },\n subject: { type: \"string\", description: \"Email subject\" },\n text: { type: \"string\", description: \"Plain text email body\" },\n html: { type: \"string\", description: \"HTML email body\" }\n },\n required: [\"subject\"]\n }\n },\n {\n name: \"openai_chat\",\n description: \"Generate text using OpenAI's chat completion API\",\n inputSchema: {\n type: \"object\",\n properties: {\n messages: {\n type: \"array\",\n description: \"Array of chat messages\",\n items: {\n type: \"object\",\n properties: {\n role: { type: \"string\", enum: [\"system\", \"user\", \"assistant\"] },\n content: { type: \"string\" }\n },\n required: [\"role\", \"content\"]\n }\n },\n model: { type: \"string\", default: \"gpt-4o-mini\", description: \"OpenAI model to use\" },\n max_tokens: { type: \"number\", description: \"Maximum tokens to generate\" },\n temperature: { type: \"number\", description: \"Sampling temperature\" }\n },\n required: [\"messages\"]\n }\n },\n {\n name: \"file_read\",\n description: \"Read a file from the Val Town project\",\n inputSchema: {\n type: \"object\",\n properties: {\n path: { type: \"string\", description: \"File path to read (e.g., '/frontend/index.html')\" }\n },\n required: [\"path\"]\n }\n },\n {\n name: \"file_list\",\n description: \"List all files in the Val Town project\",\n inputSchema: {\n type: \"object\",\n properties: {}\n }\n },\n {\n name: \"env_get\",\n description: \"Get an environment variable value\",\n inputSchema: {\n type: \"object\",\n properties: {\n key: { type: \"string\", description: \"Environment variable name\" }\n },\n required: [\"key\"]\n }\n }\n];\n\nexport async function executeTool(name: string, args: Record): Promise {\n try {\n switch (name) {\n case \"blob_get\":\n return await handleBlobGet(args);\n case \"blob_set\":\n return await handleBlobSet(args);\n case \"blob_list\":\n return await handleBlobList(args);\n case \"blob_delete\":\n return await handleBlobDelete(args);\n case \"sqlite_execute\":\n return await handleSqliteExecute(args);\n case \"email_send\":\n return await handleEmailSend(args);\n case \"openai_chat\":\n return await handleOpenAIChat(args);\n case \"file_read\":\n return await handleFileRead(args);\n case \"file_list\":\n return await handleFileList(args);\n case \"env_get\":\n return await handleEnvGet(args);\n default:\n throw new MCPException(MCP_ERRORS.TOOL_NOT_FOUND, `Tool not found: ${name}`);\n }\n } catch (error) {\n if (error instanceof MCPException) {\n throw error;\n }\n return {\n content: [{\n type: \"text\",\n text: `Error executing tool: ${error.message}`\n }],\n isError: true\n };\n }\n}\n\nasync function handleBlobGet(args: any): Promise {\n validateRequired(args, [\"key\"]);\n const key = sanitizeKey(args.key);\n const type = args.type || \"json\";\n \n try {\n const value = type === \"json\" ? await blob.getJSON(key) : await blob.get(key);\n return {\n content: [{\n type: \"text\",\n text: JSON.stringify({ key, value, type }, null, 2)\n }]\n };\n } catch (error) {\n return {\n content: [{\n type: \"text\",\n text: `Blob not found or error retrieving: ${key}`\n }],\n isError: true\n };\n }\n}\n\nasync function handleBlobSet(args: any): Promise {\n validateRequired(args, [\"key\", \"value\"]);\n const key = sanitizeKey(args.key);\n const type = args.type || \"json\";\n \n if (type === \"json\") {\n await blob.setJSON(key, args.value);\n } else {\n await blob.set(key, String(args.value));\n }\n \n return {\n content: [{\n type: \"text\",\n text: `Successfully stored data in blob: ${key}`\n }]\n };\n}\n\nasync function handleBlobList(args: any): Promise {\n const prefix = args.prefix || \"\";\n const keys = await blob.list(prefix);\n \n return {\n content: [{\n type: \"text\",\n text: JSON.stringify({ prefix, keys, count: keys.length }, null, 2)\n }]\n };\n}\n\nasync function handleBlobDelete(args: any): Promise {\n validateRequired(args, [\"key\"]);\n const key = sanitizeKey(args.key);\n \n await blob.delete(key);\n \n return {\n content: [{\n type: \"text\",\n text: `Successfully deleted blob: ${key}`\n }]\n };\n}\n\nasync function handleSqliteExecute(args: any): Promise {\n validateRequired(args, [\"query\"]);\n const { query, params = [] } = args;\n \n const result = await sqlite.execute(query, params);\n \n return {\n content: [{\n type: \"text\",\n text: JSON.stringify({ query, params, result }, null, 2)\n }]\n };\n}\n\nasync function handleEmailSend(args: any): Promise {\n validateRequired(args, [\"subject\"]);\n \n const emailOptions: any = {\n subject: args.subject\n };\n \n if (args.to) emailOptions.to = args.to;\n if (args.text) emailOptions.text = args.text;\n if (args.html) emailOptions.html = args.html;\n \n await email(emailOptions);\n \n return {\n content: [{\n type: \"text\",\n text: `Email sent successfully: ${args.subject}`\n }]\n };\n}\n\nasync function handleOpenAIChat(args: any): Promise {\n validateRequired(args, [\"messages\"]);\n \n const openai = new OpenAI();\n const options: any = {\n messages: args.messages,\n model: args.model || \"gpt-4o-mini\"\n };\n \n if (args.max_tokens) options.max_tokens = args.max_tokens;\n if (args.temperature !== undefined) options.temperature = args.temperature;\n \n const completion = await openai.chat.completions.create(options);\n \n return {\n content: [{\n type: \"text\",\n text: JSON.stringify({\n response: completion.choices[0]?.message?.content,\n usage: completion.usage,\n model: completion.model\n }, null, 2)\n }]\n };\n}\n\nasync function handleFileRead(args: any): Promise {\n validateRequired(args, [\"path\"]);\n \n try {\n const content = await readFile(args.path, import.meta.url);\n return {\n content: [{\n type: \"text\",\n text: JSON.stringify({ path: args.path, content }, null, 2)\n }]\n };\n } catch (error) {\n return {\n content: [{\n type: \"text\",\n text: `File not found or error reading: ${args.path}`\n }],\n isError: true\n };\n }\n}\n\nasync function handleFileList(args: any): Promise {\n try {\n const files = await listFiles(import.meta.url);\n return {\n content: [{\n type: \"text\",\n text: JSON.stringify({ files, count: files.length }, null, 2)\n }]\n };\n } catch (error) {\n return {\n content: [{\n type: \"text\",\n text: `Error listing files: ${error.message}`\n }],\n isError: true\n };\n }\n}\n\nasync function handleEnvGet(args: any): Promise {\n validateRequired(args, [\"key\"]);\n \n const value = Deno.env.get(args.key);\n \n return {\n content: [{\n type: \"text\",\n text: JSON.stringify({ \n key: args.key, \n exists: value !== undefined,\n value: value ? \"[REDACTED]\" : undefined // Don't expose actual values for security\n }, null, 2)\n }]\n 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Diff · v5