``` ├── .env.example ├── .gitignore ├── LICENSE ├── README.md ├── ai/ ├── providers.ts ├── app/ ├── actions.ts ├── api/ ├── chat/ ├── route.ts ├── chats/ ├── [id]/ ├── route.ts ├── route.ts ├── chat/ ├── [id]/ ├── page.tsx ├── favicon.ico ├── globals.css ├── layout.tsx ├── opengraph-image.png ├── page.tsx ├── providers.tsx ├── twitter-image.png ├── components.json ├── components/ ├── api-key-manager.tsx ├── chat-sidebar.tsx ├── chat.tsx ├── copy-button.tsx ├── deploy-button.tsx ├── icons.tsx ├── input.tsx ├── markdown.tsx ├── mcp-server-manager.tsx ├── message.tsx ├── messages.tsx ├── model-picker.tsx ├── project-overview.tsx ├── suggested-prompts.tsx ├── textarea.tsx ├── theme-provider.tsx ├── theme-toggle.tsx ├── tool-invocation.tsx ├── ui/ ├── accordion.tsx ├── avatar.tsx ├── badge.tsx ├── button.tsx ├── dialog.tsx ├── dropdown-menu.tsx ├── input.tsx ├── label.tsx ├── popover.tsx ├── scroll-area.tsx ├── select.tsx ├── separator.tsx ├── sheet.tsx ├── sidebar.tsx ├── skeleton.tsx ├── sonner.tsx ├── text-morph.tsx ├── textarea.tsx ├── tooltip.tsx ├── drizzle.config.ts ├── drizzle/ ├── 0000_supreme_rocket_raccoon.sql ├── 0001_curious_paper_doll.sql ├── 0002_free_cobalt_man.sql ├── 0003_oval_energizer.sql ├── 0004_tense_ricochet.sql ├── 0005_early_payback.sql ├── meta/ ├── 0000_snapshot.json ``` ## /.env.example ```example path="/.env.example" XAI_API_KEY="" OPENAI_API_KEY= DATABASE_URL="postgresql://username:password@host:port/database" ``` ## /.gitignore ```gitignore path="/.gitignore" # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. # dependencies /node_modules /.pnp .pnp.* .yarn/* !.yarn/patches !.yarn/plugins !.yarn/releases !.yarn/versions # testing /coverage # next.js /.next/ /out/ # production /build # misc .DS_Store *.pem # debug npm-debug.log* yarn-debug.log* yarn-error.log* .pnpm-debug.log* # env files (can opt-in for committing if needed) .env.local .env # vercel .vercel # typescript *.tsbuildinfo next-env.d.ts ``` ## /LICENSE ``` path="/LICENSE" Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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Scira MCP Chat

An open-source AI chatbot app powered by Model Context Protocol (MCP), built with Next.js and the AI SDK by Vercel.

Features • MCP Configuration • License


## Features - Streaming text responses powered by the [AI SDK by Vercel](https://sdk.vercel.ai/docs), allowing multiple AI providers to be used interchangeably with just a few lines of code. - Full integration with [Model Context Protocol (MCP)](https://modelcontextprotocol.io) servers to expand available tools and capabilities. - Multiple MCP transport types (SSE and stdio) for connecting to various tool providers. - Built-in tool integration for extending AI capabilities. - Reasoning model support. - [shadcn/ui](https://ui.shadcn.com/) components for a modern, responsive UI powered by [Tailwind CSS](https://tailwindcss.com). - Built with the latest [Next.js](https://nextjs.org) App Router. ## MCP Server Configuration This application supports connecting to Model Context Protocol (MCP) servers to access their tools. You can add and manage MCP servers through the settings icon in the chat interface. ### Adding an MCP Server 1. Click the settings icon (⚙️) next to the model selector in the chat interface. 2. Enter a name for your MCP server. 3. Select the transport type: - **SSE (Server-Sent Events)**: For HTTP-based remote servers - **stdio (Standard I/O)**: For local servers running on the same machine #### SSE Configuration If you select SSE transport: 1. Enter the server URL (e.g., `https://mcp.example.com/token/sse`) 2. Click "Add Server" #### stdio Configuration If you select stdio transport: 1. Enter the command to execute (e.g., `npx`) 2. Enter the command arguments (e.g., `-y @modelcontextprotocol/server-google-maps`) - You can enter space-separated arguments or paste a JSON array 3. Click "Add Server" 4. Click "Use" to activate the server for the current chat session. ### Available MCP Servers You can use any MCP-compatible server with this application. Here are some examples: - [Composio](https://composio.dev/mcp) - Provides search, code interpreter, and other tools - [Zapier MCP](https://zapier.com/mcp) - Provides access to Zapier tools - Any MCP server using stdio transport with npx and python3 ## License This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details. ## /ai/providers.ts ```ts path="/ai/providers.ts" import { createOpenAI } from "@ai-sdk/openai"; import { createGroq } from "@ai-sdk/groq"; import { createAnthropic } from "@ai-sdk/anthropic"; import { createXai } from "@ai-sdk/xai"; import { customProvider, wrapLanguageModel, extractReasoningMiddleware } from "ai"; export interface ModelInfo { provider: string; name: string; description: string; apiVersion: string; capabilities: string[]; } const middleware = extractReasoningMiddleware({ tagName: 'think', }); // Helper to get API keys from environment variables first, then localStorage const getApiKey = (key: string): string | undefined => { // Check for environment variables first if (process.env[key]) { return process.env[key] || undefined; } // Fall back to localStorage if available if (typeof window !== 'undefined') { return window.localStorage.getItem(key) || undefined; } return undefined; }; // Create provider instances with API keys from localStorage const openaiClient = createOpenAI({ apiKey: getApiKey('OPENAI_API_KEY'), }); const anthropicClient = createAnthropic({ apiKey: getApiKey('ANTHROPIC_API_KEY'), }); const groqClient = createGroq({ apiKey: getApiKey('GROQ_API_KEY'), }); const xaiClient = createXai({ apiKey: getApiKey('XAI_API_KEY'), }); const languageModels = { "gpt-4.1-mini": openaiClient("gpt-4.1-mini"), "claude-3-7-sonnet": anthropicClient('claude-3-7-sonnet-20250219'), "qwen-qwq": wrapLanguageModel( { model: groqClient("qwen-qwq-32b"), middleware } ), "grok-3-mini": xaiClient("grok-3-mini-latest"), }; export const modelDetails: Record = { "gpt-4.1-mini": { provider: "OpenAI", name: "GPT-4.1 Mini", description: "Compact version of OpenAI's GPT-4.1 with good balance of capabilities, including vision.", apiVersion: "gpt-4.1-mini", capabilities: ["Balance", "Creative", "Vision"] }, "claude-3-7-sonnet": { provider: "Anthropic", name: "Claude 3.7 Sonnet", description: "Latest version of Anthropic's Claude 3.7 Sonnet with strong reasoning and coding capabilities.", apiVersion: "claude-3-7-sonnet-20250219", capabilities: ["Reasoning", "Efficient", "Agentic"] }, "qwen-qwq": { provider: "Groq", name: "Qwen QWQ", description: "Latest version of Alibaba's Qwen QWQ with strong reasoning and coding capabilities.", apiVersion: "qwen-qwq", capabilities: ["Reasoning", "Efficient", "Agentic"] }, "grok-3-mini": { provider: "XAI", name: "Grok 3 Mini", description: "Latest version of XAI's Grok 3 Mini with strong reasoning and coding capabilities.", apiVersion: "grok-3-mini-latest", capabilities: ["Reasoning", "Efficient", "Agentic"] }, }; // Update API keys when localStorage changes (for runtime updates) if (typeof window !== 'undefined') { window.addEventListener('storage', (event) => { // Reload the page if any API key changed to refresh the providers if (event.key?.includes('API_KEY')) { window.location.reload(); } }); } export const model = customProvider({ languageModels, }); export type modelID = keyof typeof languageModels; export const MODELS = Object.keys(languageModels); export const defaultModel: modelID = "qwen-qwq"; ``` ## /app/actions.ts ```ts path="/app/actions.ts" "use server"; import { openai } from "@ai-sdk/openai"; import { generateObject } from "ai"; import { z } from "zod"; // Helper to extract text content from a message regardless of format function getMessageText(message: any): string { // Check if the message has parts (new format) if (message.parts && Array.isArray(message.parts)) { const textParts = message.parts.filter((p: any) => p.type === 'text' && p.text); if (textParts.length > 0) { return textParts.map((p: any) => p.text).join('\n'); } } // Fallback to content (old format) if (typeof message.content === 'string') { return message.content; } // If content is an array (potentially of parts), try to extract text if (Array.isArray(message.content)) { const textItems = message.content.filter((item: any) => typeof item === 'string' || (item.type === 'text' && item.text) ); if (textItems.length > 0) { return textItems.map((item: any) => typeof item === 'string' ? item : item.text ).join('\n'); } } return ''; } export async function generateTitle(messages: any[]) { // Convert messages to a format that OpenAI can understand const normalizedMessages = messages.map(msg => ({ role: msg.role, content: getMessageText(msg) })); const { object } = await generateObject({ model: openai("gpt-4.1"), schema: z.object({ title: z.string().min(1).max(100), }), system: ` You are a helpful assistant that generates titles for chat conversations. The title should be a short description of the conversation. The title should be no more than 30 characters. The title should be unique and not generic. `, messages: [ ...normalizedMessages, { role: "user", content: "Generate a title for the conversation.", }, ], }); return object.title; } ``` ## /app/api/chat/route.ts ```ts path="/app/api/chat/route.ts" import { model, type modelID } from "@/ai/providers"; import { streamText, type UIMessage } from "ai"; import { appendResponseMessages } from 'ai'; import { saveChat, saveMessages, convertToDBMessages } from '@/lib/chat-store'; import { nanoid } from 'nanoid'; import { db } from '@/lib/db'; import { chats } from '@/lib/db/schema'; import { eq, and } from 'drizzle-orm'; import { experimental_createMCPClient as createMCPClient, MCPTransport } from 'ai'; import { Experimental_StdioMCPTransport as StdioMCPTransport } from 'ai/mcp-stdio'; import { spawn } from "child_process"; // Allow streaming responses up to 30 seconds export const maxDuration = 120; interface KeyValuePair { key: string; value: string; } interface MCPServerConfig { url: string; type: 'sse' | 'stdio'; command?: string; args?: string[]; env?: KeyValuePair[]; headers?: KeyValuePair[]; } export async function POST(req: Request) { const { messages, chatId, selectedModel, userId, mcpServers = [], }: { messages: UIMessage[]; chatId?: string; selectedModel: modelID; userId: string; mcpServers?: MCPServerConfig[]; } = await req.json(); if (!userId) { return new Response( JSON.stringify({ error: "User ID is required" }), { status: 400, headers: { "Content-Type": "application/json" } } ); } const id = chatId || nanoid(); // Check if chat already exists for the given ID // If not, we'll create it in onFinish let isNewChat = false; if (chatId) { try { const existingChat = await db.query.chats.findFirst({ where: and( eq(chats.id, chatId), eq(chats.userId, userId) ) }); isNewChat = !existingChat; } catch (error) { console.error("Error checking for existing chat:", error); // Continue anyway, we'll create the chat in onFinish isNewChat = true; } } else { // No ID provided, definitely new isNewChat = true; } // Initialize tools let tools = {}; const mcpClients: any[] = []; // Process each MCP server configuration for (const mcpServer of mcpServers) { try { // Create appropriate transport based on type let transport: MCPTransport | { type: 'sse', url: string, headers?: Record }; if (mcpServer.type === 'sse') { // Convert headers array to object for SSE transport const headers: Record = {}; if (mcpServer.headers && mcpServer.headers.length > 0) { mcpServer.headers.forEach(header => { if (header.key) headers[header.key] = header.value || ''; }); } transport = { type: 'sse' as const, url: mcpServer.url, headers: Object.keys(headers).length > 0 ? headers : undefined }; } else if (mcpServer.type === 'stdio') { // For stdio transport, we need command and args if (!mcpServer.command || !mcpServer.args || mcpServer.args.length === 0) { console.warn("Skipping stdio MCP server due to missing command or args"); continue; } // Convert env array to object for stdio transport const env: Record = {}; if (mcpServer.env && mcpServer.env.length > 0) { mcpServer.env.forEach(envVar => { if (envVar.key) env[envVar.key] = envVar.value || ''; }); } // Check for uvx pattern and transform to python3 -m uv run if (mcpServer.command === 'uvx') { // install uv const subprocess = spawn('pip3', ['install', 'uv']); subprocess.on('close', (code: number) => { if (code !== 0) { console.error(`Failed to install uv: ${code}`); } }); // wait for the subprocess to finish await new Promise((resolve) => { subprocess.on('close', resolve); console.log("installed uv"); }); console.log("Detected uvx pattern, transforming to python3 -m uv run"); mcpServer.command = 'python3'; // Get the tool name (first argument) const toolName = mcpServer.args[0]; // Replace args with the new pattern mcpServer.args = ['-m', 'uv', 'run', toolName, ...mcpServer.args.slice(1)]; } // if python is passed in the command, install the python package mentioned in args after -m with subprocess or use regex to find the package name else if (mcpServer.command.includes('python3')) { const packageName = mcpServer.args[mcpServer.args.indexOf('-m') + 1]; console.log("installing python package", packageName); const subprocess = spawn('pip3', ['install', packageName]); subprocess.on('close', (code: number) => { if (code !== 0) { console.error(`Failed to install python package: ${code}`); } }); // wait for the subprocess to finish await new Promise((resolve) => { subprocess.on('close', resolve); console.log("installed python package", packageName); }); } transport = new StdioMCPTransport({ command: mcpServer.command, args: mcpServer.args, env: Object.keys(env).length > 0 ? env : undefined }); } else { console.warn(`Skipping MCP server with unsupported transport type: ${mcpServer.type}`); continue; } const mcpClient = await createMCPClient({ transport }); mcpClients.push(mcpClient); const mcptools = await mcpClient.tools(); console.log(`MCP tools from ${mcpServer.type} transport:`, Object.keys(mcptools)); // Add MCP tools to tools object tools = { ...tools, ...mcptools }; } catch (error) { console.error("Failed to initialize MCP client:", error); // Continue with other servers instead of failing the entire request } } // Register cleanup for all clients if (mcpClients.length > 0) { req.signal.addEventListener('abort', async () => { for (const client of mcpClients) { try { await client.close(); } catch (error) { console.error("Error closing MCP client:", error); } } }); } console.log("messages", messages); console.log("parts", messages.map(m => m.parts.map(p => p))); // If there was an error setting up MCP clients but we at least have composio tools, continue const result = streamText({ model: model.languageModel(selectedModel), system: `You are a helpful assistant with access to a variety of tools. Today's date is ${new Date().toISOString().split('T')[0]}. The tools are very powerful, and you can use them to answer the user's question. So choose the tool that is most relevant to the user's question. If tools are not available, say you don't know or if the user wants a tool they can add one from the server icon in bottom left corner in the sidebar. You can use multiple tools in a single response. Always respond after using the tools for better user experience. You can run multiple steps using all the tools!!!! Make sure to use the right tool to respond to the user's question. Multiple tools can be used in a single response and multiple steps can be used to answer the user's question. ## Response Format - Markdown is supported. - Respond according to tool's response. - Use the tools to answer the user's question. - If you don't know the answer, use the tools to find the answer or say you don't know. `, messages, tools, maxSteps: 20, providerOptions: { google: { thinkingConfig: { thinkingBudget: 2048, }, }, anthropic: { thinking: { type: 'enabled', budgetTokens: 12000 }, } }, onError: (error) => { console.error(JSON.stringify(error, null, 2)); }, async onFinish({ response }) { const allMessages = appendResponseMessages({ messages, responseMessages: response.messages, }); await saveChat({ id, userId, messages: allMessages, }); const dbMessages = convertToDBMessages(allMessages, id); await saveMessages({ messages: dbMessages }); // close all mcp clients // for (const client of mcpClients) { // await client.close(); // } } }); result.consumeStream() return result.toDataStreamResponse({ sendReasoning: true, getErrorMessage: (error) => { if (error instanceof Error) { if (error.message.includes("Rate limit")) { return "Rate limit exceeded. Please try again later."; } } console.error(error); return "An error occurred."; }, }); } ``` ## /app/api/chats/[id]/route.ts ```ts path="/app/api/chats/[id]/route.ts" import { NextResponse } from "next/server"; import { getChatById, deleteChat } from "@/lib/chat-store"; interface Params { params: { id: string; }; } export async function GET(request: Request, { params }: Params) { try { const userId = request.headers.get('x-user-id'); if (!userId) { return NextResponse.json({ error: "User ID is required" }, { status: 400 }); } const { id } = await params; const chat = await getChatById(id, userId); if (!chat) { return NextResponse.json( { error: "Chat not found" }, { status: 404 } ); } return NextResponse.json(chat); } catch (error) { console.error("Error fetching chat:", error); return NextResponse.json( { error: "Failed to fetch chat" }, { status: 500 } ); } } export async function DELETE(request: Request, { params }: Params) { try { const userId = request.headers.get('x-user-id'); if (!userId) { return NextResponse.json({ error: "User ID is required" }, { status: 400 }); } const { id } = await params; await deleteChat(id, userId); return NextResponse.json({ success: true }); } catch (error) { console.error("Error deleting chat:", error); return NextResponse.json( { error: "Failed to delete chat" }, { status: 500 } ); } } ``` ## /app/api/chats/route.ts ```ts path="/app/api/chats/route.ts" import { NextResponse } from "next/server"; import { getChats } from "@/lib/chat-store"; export async function GET(request: Request) { try { const userId = request.headers.get('x-user-id'); if (!userId) { return NextResponse.json({ error: "User ID is required" }, { status: 400 }); } const chats = await getChats(userId); return NextResponse.json(chats); } catch (error) { console.error("Error fetching chats:", error); return NextResponse.json( { error: "Failed to fetch chats" }, { status: 500 } ); } } ``` ## /app/chat/[id]/page.tsx ```tsx path="/app/chat/[id]/page.tsx" "use client"; import Chat from "@/components/chat"; import { getUserId } from "@/lib/user-id"; import { useQueryClient } from "@tanstack/react-query"; import { useParams } from "next/navigation"; import { useEffect } from "react"; export default function ChatPage() { const params = useParams(); const chatId = params?.id as string; const queryClient = useQueryClient(); const userId = getUserId(); // Prefetch chat data useEffect(() => { async function prefetchChat() { if (!chatId || !userId) return; // Check if data already exists in cache const existingData = queryClient.getQueryData(['chat', chatId, userId]); if (existingData) return; // Prefetch the data await queryClient.prefetchQuery({ queryKey: ['chat', chatId, userId] as const, queryFn: async () => { try { const response = await fetch(`/api/chats/${chatId}`, { headers: { 'x-user-id': userId } }); if (!response.ok) { throw new Error('Failed to load chat'); } return response.json(); } catch (error) { console.error('Error prefetching chat:', error); return null; } }, staleTime: 1000 * 60 * 5, // 5 minutes }); } prefetchChat(); }, [chatId, userId, queryClient]); return ; } ``` ## /app/favicon.ico Binary file available at https://raw.githubusercontent.com/zaidmukaddam/scira-mcp-chat/refs/heads/main/app/favicon.ico ## /app/globals.css ```css path="/app/globals.css" @import "tailwindcss"; @plugin "tailwindcss-animate"; @custom-variant dark (&:is(.dark *)); @custom-variant sunset (&:is(.sunset *)); @custom-variant black (&:is(.black *)); :root { --background: oklch(0.99 0.01 56.32); --foreground: oklch(0.34 0.01 2.77); --card: oklch(1.00 0 0); --card-foreground: oklch(0.34 0.01 2.77); --popover: oklch(1.00 0 0); --popover-foreground: oklch(0.34 0.01 2.77); --primary: oklch(0.74 0.16 34.71); --primary-foreground: oklch(1.00 0 0); --secondary: oklch(0.96 0.02 28.90); --secondary-foreground: oklch(0.56 0.13 32.74); --muted: oklch(0.97 0.02 39.40); --muted-foreground: oklch(0.49 0.05 26.45); --accent: oklch(0.83 0.11 58.00); --accent-foreground: oklch(0.34 0.01 2.77); --destructive: oklch(0.61 0.21 22.24); --destructive-foreground: oklch(1.00 0 0); --border: oklch(0.93 0.04 38.69); --input: oklch(0.93 0.04 38.69); --ring: oklch(0.74 0.16 34.71); --chart-1: oklch(0.74 0.16 34.71); --chart-2: oklch(0.83 0.11 58.00); --chart-3: oklch(0.88 0.08 54.93); --chart-4: oklch(0.82 0.11 40.89); --chart-5: oklch(0.64 0.13 32.07); --sidebar: oklch(0.97 0.02 39.40); --sidebar-foreground: oklch(0.34 0.01 2.77); --sidebar-primary: oklch(0.74 0.16 34.71); --sidebar-primary-foreground: oklch(1.00 0 0); --sidebar-accent: oklch(0.83 0.11 58.00); --sidebar-accent-foreground: oklch(0.34 0.01 2.77); --sidebar-border: oklch(0.93 0.04 38.69); --sidebar-ring: oklch(0.74 0.16 34.71); --font-sans: Montserrat, sans-serif; --font-serif: Merriweather, serif; --font-mono: Ubuntu Mono, monospace; --radius: 0.625rem; --shadow-2xs: 0px 6px 12px -3px hsl(0 0% 0% / 0.04); --shadow-xs: 0px 6px 12px -3px hsl(0 0% 0% / 0.04); --shadow-sm: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 1px 2px -4px hsl(0 0% 0% / 0.09); --shadow: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 1px 2px -4px hsl(0 0% 0% / 0.09); --shadow-md: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 2px 4px -4px hsl(0 0% 0% / 0.09); --shadow-lg: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 4px 6px -4px hsl(0 0% 0% / 0.09); --shadow-xl: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 8px 10px -4px hsl(0 0% 0% / 0.09); --shadow-2xl: 0px 6px 12px -3px hsl(0 0% 0% / 0.22); } .dark { --background: oklch(0.26 0.02 352.40); --foreground: oklch(0.94 0.01 51.32); --card: oklch(0.32 0.02 341.45); --card-foreground: oklch(0.94 0.01 51.32); --popover: oklch(0.32 0.02 341.45); --popover-foreground: oklch(0.94 0.01 51.32); --primary: oklch(0.57 0.15 35.26); --primary-foreground: oklch(1.00 0 0); --secondary: oklch(0.36 0.02 342.27); --secondary-foreground: oklch(0.94 0.01 51.32); --muted: oklch(0.32 0.02 341.45); --muted-foreground: oklch(0.84 0.02 52.63); --accent: oklch(0.83 0.11 58.00); --accent-foreground: oklch(0.26 0.02 352.40); --destructive: oklch(0.51 0.16 20.19); --destructive-foreground: oklch(1.00 0 0); --border: oklch(0.36 0.02 342.27); --input: oklch(0.36 0.02 342.27); --ring: oklch(0.74 0.16 34.71); --chart-1: oklch(0.74 0.16 34.71); --chart-2: oklch(0.83 0.11 58.00); --chart-3: oklch(0.88 0.08 54.93); --chart-4: oklch(0.82 0.11 40.89); --chart-5: oklch(0.64 0.13 32.07); --sidebar: oklch(0.26 0.02 352.40); --sidebar-foreground: oklch(0.94 0.01 51.32); --sidebar-primary: oklch(0.47 0.08 34.31); --sidebar-primary-foreground: oklch(1.00 0 0); --sidebar-accent: oklch(0.67 0.09 56.00); --sidebar-accent-foreground: oklch(0.26 0.01 353.48); --sidebar-border: oklch(0.36 0.02 342.27); --sidebar-ring: oklch(0.74 0.16 34.71); --font-sans: Montserrat, sans-serif; --font-serif: Merriweather, serif; --font-mono: Ubuntu Mono, monospace; --radius: 0.625rem; --shadow-2xs: 0px 6px 12px -3px hsl(0 0% 0% / 0.04); --shadow-xs: 0px 6px 12px -3px hsl(0 0% 0% / 0.04); --shadow-sm: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 1px 2px -4px hsl(0 0% 0% / 0.09); --shadow: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 1px 2px -4px hsl(0 0% 0% / 0.09); --shadow-md: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 2px 4px -4px hsl(0 0% 0% / 0.09); --shadow-lg: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 4px 6px -4px hsl(0 0% 0% / 0.09); --shadow-xl: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 8px 10px -4px hsl(0 0% 0% / 0.09); --shadow-2xl: 0px 6px 12px -3px hsl(0 0% 0% / 0.22); } .sunset { --background: oklch(0.98 0.03 80.00); --foreground: oklch(0.34 0.01 2.77); --card: oklch(1.00 0 0); --card-foreground: oklch(0.34 0.01 2.77); --popover: oklch(1.00 0 0); --popover-foreground: oklch(0.34 0.01 2.77); --primary: oklch(0.65 0.26 34.00); --primary-foreground: oklch(1.00 0 0); --secondary: oklch(0.96 0.05 60.00); --secondary-foreground: oklch(0.56 0.13 32.74); --muted: oklch(0.97 0.02 39.40); --muted-foreground: oklch(0.49 0.05 26.45); --accent: oklch(0.83 0.22 50.00); --accent-foreground: oklch(0.34 0.01 2.77); --destructive: oklch(0.61 0.21 22.24); --destructive-foreground: oklch(1.00 0 0); --border: oklch(0.93 0.06 60.00); --input: oklch(0.93 0.06 60.00); --ring: oklch(0.65 0.26 34.00); --chart-1: oklch(0.65 0.26 34.00); --chart-2: oklch(0.83 0.22 50.00); --chart-3: oklch(0.88 0.15 54.93); --chart-4: oklch(0.82 0.20 40.89); --chart-5: oklch(0.64 0.18 32.07); --sidebar: oklch(0.97 0.04 70.00); --sidebar-foreground: oklch(0.34 0.01 2.77); --sidebar-primary: oklch(0.65 0.26 34.00); --sidebar-primary-foreground: oklch(1.00 0 0); --sidebar-accent: oklch(0.83 0.22 50.00); --sidebar-accent-foreground: oklch(0.34 0.01 2.77); --sidebar-border: oklch(0.93 0.06 60.00); --sidebar-ring: oklch(0.65 0.26 34.00); --font-sans: Montserrat, sans-serif; --font-serif: Merriweather, serif; --font-mono: Ubuntu Mono, monospace; --radius: 0.625rem; --shadow-2xs: 0px 6px 12px -3px hsl(0 0% 0% / 0.04); --shadow-xs: 0px 6px 12px -3px hsl(0 0% 0% / 0.04); --shadow-sm: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 1px 2px -4px hsl(0 0% 0% / 0.09); --shadow: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 1px 2px -4px hsl(0 0% 0% / 0.09); --shadow-md: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 2px 4px -4px hsl(0 0% 0% / 0.09); --shadow-lg: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 4px 6px -4px hsl(0 0% 0% / 0.09); --shadow-xl: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 8px 10px -4px hsl(0 0% 0% / 0.09); --shadow-2xl: 0px 6px 12px -3px hsl(0 0% 0% / 0.22); } .black { --background: oklch(0.15 0.01 350.00); --foreground: oklch(0.95 0.01 60.00); --card: oklch(0.20 0.01 340.00); --card-foreground: oklch(0.95 0.01 60.00); --popover: oklch(0.20 0.01 340.00); --popover-foreground: oklch(0.95 0.01 60.00); --primary: oklch(0.45 0.10 35.00); --primary-foreground: oklch(1.00 0 0); --secondary: oklch(0.25 0.01 340.00); --secondary-foreground: oklch(0.95 0.01 60.00); --muted: oklch(0.22 0.01 340.00); --muted-foreground: oklch(0.86 0.01 60.00); --accent: oklch(0.70 0.09 58.00); --accent-foreground: oklch(0.15 0.01 350.00); --destructive: oklch(0.45 0.16 20.00); --destructive-foreground: oklch(1.00 0 0); --border: oklch(0.25 0.01 340.00); --input: oklch(0.25 0.01 340.00); --ring: oklch(0.45 0.10 35.00); --chart-1: oklch(0.45 0.10 35.00); --chart-2: oklch(0.70 0.09 58.00); --chart-3: oklch(0.80 0.06 54.00); --chart-4: oklch(0.75 0.08 40.00); --chart-5: oklch(0.55 0.10 32.00); --sidebar: oklch(0.15 0.01 350.00); --sidebar-foreground: oklch(0.95 0.01 60.00); --sidebar-primary: oklch(0.40 0.06 34.00); --sidebar-primary-foreground: oklch(1.00 0 0); --sidebar-accent: oklch(0.60 0.07 56.00); --sidebar-accent-foreground: oklch(0.15 0.01 350.00); --sidebar-border: oklch(0.25 0.01 340.00); --sidebar-ring: oklch(0.45 0.10 35.00); --font-sans: Montserrat, sans-serif; --font-serif: Merriweather, serif; --font-mono: Ubuntu Mono, monospace; --radius: 0.625rem; --shadow-2xs: 0px 6px 12px -3px hsl(0 0% 0% / 0.04); --shadow-xs: 0px 6px 12px -3px hsl(0 0% 0% / 0.04); --shadow-sm: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 1px 2px -4px hsl(0 0% 0% / 0.09); --shadow: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 1px 2px -4px hsl(0 0% 0% / 0.09); --shadow-md: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 2px 4px -4px hsl(0 0% 0% / 0.09); --shadow-lg: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 4px 6px -4px hsl(0 0% 0% / 0.09); --shadow-xl: 0px 6px 12px -3px hsl(0 0% 0% / 0.09), 0px 8px 10px -4px hsl(0 0% 0% / 0.09); --shadow-2xl: 0px 6px 12px -3px hsl(0 0% 0% / 0.22); } @theme inline { --color-background: var(--background); --color-foreground: var(--foreground); --color-card: var(--card); --color-card-foreground: var(--card-foreground); --color-popover: var(--popover); --color-popover-foreground: var(--popover-foreground); --color-primary: var(--primary); --color-primary-foreground: var(--primary-foreground); --color-secondary: var(--secondary); --color-secondary-foreground: var(--secondary-foreground); --color-muted: var(--muted); --color-muted-foreground: var(--muted-foreground); --color-accent: var(--accent); --color-accent-foreground: var(--accent-foreground); --color-destructive: var(--destructive); --color-destructive-foreground: var(--destructive-foreground); --color-border: var(--border); --color-input: var(--input); --color-ring: var(--ring); --color-chart-1: var(--chart-1); --color-chart-2: var(--chart-2); --color-chart-3: var(--chart-3); --color-chart-4: var(--chart-4); --color-chart-5: var(--chart-5); --color-sidebar: var(--sidebar); --color-sidebar-foreground: var(--sidebar-foreground); --color-sidebar-primary: var(--sidebar-primary); --color-sidebar-primary-foreground: var(--sidebar-primary-foreground); --color-sidebar-accent: var(--sidebar-accent); --color-sidebar-accent-foreground: var(--sidebar-accent-foreground); --color-sidebar-border: var(--sidebar-border); --color-sidebar-ring: var(--sidebar-ring); --font-sans: var(--font-sans); --font-mono: var(--font-mono); --font-serif: var(--font-serif); --radius-sm: calc(var(--radius) - 4px); --radius-md: calc(var(--radius) - 2px); --radius-lg: var(--radius); --radius-xl: calc(var(--radius) + 4px); --shadow-2xs: var(--shadow-2xs); --shadow-xs: var(--shadow-xs); --shadow-sm: var(--shadow-sm); --shadow: var(--shadow); --shadow-md: var(--shadow-md); --shadow-lg: var(--shadow-lg); --shadow-xl: var(--shadow-xl); --shadow-2xl: var(--shadow-2xl); } @layer base { * { @apply border-border outline-ring/50; } body { @apply bg-background text-foreground; letter-spacing: var(--tracking-normal); } } @layer utilities { /* Hide scrollbar for Chrome, Safari and Opera */ .no-scrollbar::-webkit-scrollbar { display: none; } /* Hide scrollbar for IE, Edge and Firefox */ .no-scrollbar { -ms-overflow-style: none; /* IE and Edge */ /* Use Firefox-specific scrollbar hiding when supported */ scrollbar-width: none; } } ``` ## /app/layout.tsx ```tsx path="/app/layout.tsx" import type { Metadata } from "next"; import { Inter } from "next/font/google"; import { ChatSidebar } from "@/components/chat-sidebar"; import { SidebarTrigger } from "@/components/ui/sidebar"; import { Menu } from "lucide-react"; import { Providers } from "./providers"; import "./globals.css"; import Script from "next/script"; const inter = Inter({ subsets: ["latin"] }); export const metadata: Metadata = { metadataBase: new URL("https://mcp.scira.ai"), title: "Scira MCP Chat", description: "Scira MCP Chat is a minimalistic MCP client with a good feature set.", openGraph: { siteName: "Scira MCP Chat", url: "https://mcp.scira.ai", images: [ { url: "https://mcp.scira.ai/opengraph-image.png", width: 1200, height: 630, }, ], }, twitter: { card: "summary_large_image", title: "Scira MCP Chat", description: "Scira MCP Chat is a minimalistic MCP client with a good feature set.", images: ["https://mcp.scira.ai/twitter-image.png"], }, }; export default function RootLayout({ children, }: Readonly<{ children: React.ReactNode; }>) { return (
{children}