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* 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 };\n}","deleted","label",[167,168,149],"backend","mcp","permalink","https://www.val.town/x/c15r/MCP/code/backend/mcp/tools.ts","extension","actionData","errors"]