Ai Client

AI Client

A full-featured Next.js 16 AI chat application featuring branching message trees, real-time streaming responses, multi-format artifact rendering (Markdown, HTML, XLSX, Mermaid diagrams), file handling, and integrated Model Context Protocol (MCP) servers. Built with TypeScript, PostgreSQL, Better Auth, and the Vercel AI SDK—deploy with confidence.

Features

Chat Interface & UX

• Branching conversations — Edit any message to create sibling branches non-destructively; navigate trees intuitively.
• Real-time streaming — Server-Sent Events (SSE) support for text, reasoning tokens (``), and real-time tool orchestration.
• Global Search — Unified interface for searching chats, projects, and assistants with type-based grouping and real-time filtering.
• Message trees — Explore alternative conversation paths via interactive branch controls with state persistence across branches.

AI & Artifacts

• Artifacts & Canvas — Sidecar rendering for Markdown, HTML, Mermaid diagrams, and XLSX spreadsheets with persistent edits, AI-driven updates, and export capabilities.
• Multi-Provider Model Support — Connect to any OpenAI-compatible provider (OpenRouter, Ollama, Groq, Azure, local models). Register multiple providers with encrypted credentials and select per-message model configuration.
• Automatic Model Discovery — Dual-endpoint synchronisation discovers both chat and embedding models from any OpenAI-compatible provider via /v1/models and /v1/embeddings/models endpoints.
• Slash-commands — Palette-based shortcuts (/) to inject pre-defined system or user prompts for rapid templating.
• KaTeX & Mermaid — Full support for mathematical notation (KaTeX) and sophisticated diagramming (Mermaid) within the chat and artifact panels.

Knowledge Bases (RAG)

• Agentic RAG implementation — LLM-driven knowledge retrieval where the AI uses specialised tools to query context based on intent.
• Flexible Embedding Models — Select any embedding model from registered providers for knowledge base indexing. Dimensionless vector storage supports arbitrary embedding dimensions.
• Hybrid Semantic Search — Combines vector embeddings (pgvector) with Postgres Full-Text Search using Reciprocal Rank Fusion (RRF) for precise semantic retrieval.
• Multi-format Ingestion — Automated pipeline for extracting and indexing content from PDFs, Excel spreadsheets, and Markdown/Plain text files.
• Document Management — Full lifecycle tracking for indexed documents including token counting and status monitoring.

Model Context Protocol (MCP)

• HTTP Transport Integration — Connect to remote MCP servers via the official TypeScript SDK to extend AI capabilities with custom toolsets.
• Granular Tool Control — Searchable tool picker for per-message tool selection and resource management.
• Default Tooling — Automatically enable specific tools for chats associated with particular Projects or Assistants.
• SSRF Protection — Mandatory URL validation for MCP server registrations to ensure secure communication with remote services.

Specialised Workflows

• Transform Workflow — Multi-step spreadsheet automation engine with SSE-powered execution and manual review/approval gates.
• Translation Workflow — Dedicated side-by-side interface for linguistic translation with auto-detection and language swapping.
• S3-Integrated Processing — Efficient file handling using presigned S3 URLs passed directly to AI tools, avoiding large payload transfers.

Authentication & Security

• Comprehensive Authorisation — Multi-method login via Email/Password, GitHub/Discord OAuth, and WebAuthn Passkeys.
• Enhanced Security — TOTP-based Multi-Factor Authentication (MFA) with secure recovery via backup codes.
• Session Governance — Fingerprinted session tracking with a management interface for global session revocation.
• Global System Prompts — Per-user preference layer that prepends global instructions across all conversation contexts.

Collaboration & Organisation

• Projects — Group related chats with shared system prompts, knowledge bases, and default tool configurations.
• Assistants — Define distinct AI personas with unique avatars and system instructions for re-use across the application.
• Resource Management — Centralised management of prompts, knowledge bases, and MCP server configurations.

Architecture & Persistence

• Postgres 17 & Drizzle ORM — Relational data integrity with type-safe schema management.
• Hybrid State Management — Optimistic UI updates via Zustand paired with robust Server Action-based persistence.
• MinIO/S3 Storage — Secure storage for conversation attachments and RAG documents with controlled access via presigned URLs.

Database Schema

The application uses PostgreSQL with Drizzle ORM. Core tables include:

• user — Profiles, auth states, and preferences
• ai_provider — OpenAI-compatible provider registrations (base URL, API key, custom headers) with encryption
• ai_model — Model catalogue per provider with capability flags (tools, vision, reasoning, structured output, embeddings)
• user_settings — Per-user preferences including global system prompt and default chat/embedding model selection
• chat — Conversation sessions tied to users, projects, or assistants
• message — Tree-structured entries with parent_id for branching; stores content and tool metadata
• mcp_server — Remote HTTP MCP configurations (url, headers)
• attachment — S3 file metadata (key, mime_type) linked to messages or transform runs
• project / assistant — Shared prompts and tool configurations for chats
• knowledgebase — RAG metadata and document chunk tracking for semantic search

Tech Stack

Frontend

• Next.js — React framework with App Router and Server Components
• React — Component-based UI library
• TypeScript — Type-safe JavaScript
• Tailwind CSS — Utility-first CSS framework
• Shadcn UI — Composable React component library
• Radix UI / Base UI — Accessible, unstyled component primitives
• Sonner — Toast notifications
• Zustand — Lightweight client-side state store
• React Markdown — Markdown to React components
• Mermaid — Diagram and flowchart rendering
• KaTeX — Mathematical typesetting
• unpdf — PDF text extraction
• BlockNote — Rich text editor

Backend

• Better Auth — Email/password, OAuth, passkeys, and TOTP support
• Postmark — Transactional email service
• MinIO (AWS SDK v3) — S3-compatible object storage

Database & ORM

• PostgreSQL — Relational database
• Drizzle ORM — Type-safe SQL query builder and migrations

AI & Language Models

• Vercel AI SDK — Streaming responses and tool integration with multi-provider support
• OpenAI-Compatible API Providers — Support for OpenRouter, OpenAI, Ollama, Groq, Azure, and any OpenAI-compatible endpoint
• @ai-sdk/mcp — Model Context Protocol integration
• @modelcontextprotocol/sdk — Official MCP TypeScript SDK

Requirements

System Requirements

• Node.js: 22.x or higher
• npm: 9.x or higher (bundled with Node.js)
• PostgreSQL 17.0 — Primary data store for users, chats, messages, and application state
• S3/MinIO — S3-compatible object storage for file uploads and attachments (or AWS S3 in production)
• OpenAI-Compatible AI Provider — Any provider supporting OpenAI API standards (e.g., OpenRouter, OpenAI, Ollama, Groq, Azure, local models; account/deployment required)
• Postmark — Transactional email service for authentication and notifications (account required)
• HTTP MCP Servers (Optional) — Required if you want to extend AI capabilities via remote toolsets

> Docker/Podman can be used to run PostgreSQL and MinIO locally without cloud dependencies.

Setup

Follow these steps to set up and run the AI Client locally.

1. Clone Repository

Clone the repository to your local machine:

git clone https://github.com/mbeps/ai-client.git
cd ai-client

Install all required Node.js dependencies:

npm install

3. Configure Environment Variables

For local development, create .env.local in the project root:

cp .env.example .env.local

Environment Variables for Docker Containers

The docker-compose.yml file reads from .env to configure PostgreSQL and MinIO. Key variables:

• DB_HOST, DB_PORT, DB_USER, DB_PASSWORD, DB_NAME — PostgreSQL configuration
• S3_ACCESS_KEY, S3_SECRET_KEY — MinIO root credentials

These are referenced in docker-compose.yml and should be defined in .env (defaults are provided).

Example .env (for Docker)

# PostgreSQL (docker-compose)
DB_HOST=localhost
DB_PORT=5432
DB_USER=postgres
DB_PASSWORD=password
DB_NAME=better_auth_tutorial

# MinIO (docker-compose)
S3_ACCESS_KEY=minioadmin
S3_SECRET_KEY=minioadmin

Example .env.local (for Application)

# Database (Next.js application)
DATABASE_URL=postgresql://postgres:password@localhost:5432/better_auth_tutorial

# Authentication
BETTER_AUTH_SECRET=your-secure-random-string-here
BETTER_AUTH_URL=http://localhost:3000
NEXT_PUBLIC_ENABLE_EMAIL_PASSWORD=true

# AI & Language Models

# Storage (MinIO/S3)
S3_ENDPOINT=http://localhost:9000
S3_REGION=us-east-1
S3_ACCESS_KEY=minioadmin
S3_SECRET_KEY=minioadmin
S3_BUCKET=ai-client-uploads

# Email Service
POSTMARK_SERVER_TOKEN=your-postmark-token-here
POSTMARK_FROM_EMAIL=noreply@yourdomain.com

# OAuth (optional)
CLIENT_ID_GITHUB=your-github-oauth-client-id
CLIENT_SECRET_GITHUB=your-github-oauth-secret
CLIENT_ID_DISCORD=your-discord-oauth-client-id
CLIENT_SECRET_DISCORD=your-discord-oauth-secret

Environment Variable Reference

Core Application

• DATABASE_URL (required) — PostgreSQL connection string
• Format: postgresql://user:password@host:port/database
• Ensure it matches your .env variables for the container
• BETTER_AUTH_SECRET (required) — Authentication secret key
• Generate: openssl rand -base64 32
• Keep secure; never commit to version control
• BETTER_AUTH_URL (required) — Auth callback URL (http://localhost:3000 for dev)
• NEXT_PUBLIC_ENABLE_EMAIL_PASSWORD — Set to false to disable email/password credential authentication; defaults to true
• NEXT_PUBLIC_ALLOW_PRIVATE_NETWORK_MCP — Set to true to allow connecting to Localhost/Private MCP servers during development (bypasses SSRF guard)

Storage

• S3_ENDPOINT — MinIO/S3 endpoint URL (default: http://localhost:9000)
• S3_REGION — AWS region or MinIO region (default: us-east-1)
• S3_ACCESS_KEY — MinIO root user (default: minioadmin)
• S3_SECRET_KEY — MinIO root password (default: minioadmin)
• S3_BUCKET — Bucket name for uploads (default: ai-client-uploads)

Email Service

• POSTMARK_SERVER_TOKEN (required) — API token from https://postmark.com
• POSTMARK_FROM_EMAIL (required) — Verified sender email address

OAuth (Optional)

• CLIENT_ID_GITHUB / CLIENT_SECRET_GITHUB — GitHub OAuth credentials
• CLIENT_ID_DISCORD / CLIENT_SECRET_DISCORD — Discord OAuth credentials

4. Start Infrastructure (Optional)

These instructions are needed if you wish to run PostgreSQL and MinIO locally using Docker (or Podman). You can also connect to external services (e.g., managed PostgreSQL, AWS S3) by configuring the appropriate environment variables.

Start PostgreSQL and MinIO using Docker (or Podman):

docker-compose up -d

Verify both services are running:

docker ps

You should see postgres and minio containers. MinIO console is available at http://localhost:9001.

5. Set Up Database

Run database migrations:

npm run db:migrate

6. Run Development Server

Start the development server:

npm run dev

> The application will be available at http://localhost:3000.

Alternatively, you can build and run the application:

npm run build
npm start

References

• Next.js — React meta-framework with App Router, Server Components, and Server Actions
• React — Component-based UI library for building interactive interfaces
• TypeScript — Typed superset of JavaScript with compile-time safety
• Better Auth — Multi-method authentication (email/password, OAuth, passkeys, TOTP 2FA)
• PostgreSQL — Relational database for persistent storage
• Drizzle ORM — Type-safe SQL query builder with migrations and introspection
• Vercel AI SDK — Streaming responses, tool integration, and multi-provider language model abstraction
• OpenAI API Compatibility — Universal interface for chat and embedding model access across any OpenAI-compatible provider
• Model Context Protocol — Protocol for AI tool and server integration
• Shadcn UI — Copy-paste React component library built on Radix UI
• Radix UI — Unstyled, accessible component primitives for custom design systems
• Tailwind CSS — Utility-first CSS framework for rapid styling
• React Markdown — Parse and render Markdown to React components
• Mermaid — Diagram rendering for flowcharts, sequence diagrams, and more
• KaTeX — Mathematical typesetting and LaTeX notation rendering
• unpdf — PDF text extraction and processing
• React Hook Form — Performant form handling with minimal re-renders
• Zod — TypeScript-first schema validation for runtime safety
• Zustand — Lightweight, flexible state management without boilerplate
• MinIO — S3-compatible object storage for file uploads and assets
• AWS SDK v3 — AWS service client for S3/MinIO
• xlsx — Excel file parsing, generation, and manipulation
• UUID — Standard UUID generation for unique identifiers
• Date-fns — Date manipulation, formatting, and parsing utilities
• cmdk — Fast command/search interface component
• Resizable Panels — Draggable, resizable layout panels
• Vaul — Mobile drawer/sheet component
• BlockNote — Rich text editor for document editing
• Postmark — Transactional email service for reliable delivery
• [**

…

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: mbeps
• Source: mbeps/ai-client
• License: MIT
• Homepage: https://ai-chat-client.maruf-bepary.com/

Install and usage instructions live in the source repository linked above.