
mcp
一个用于管理聊天机器人、自动生成内容和处理社交媒体活动的综合 AI 平台。
Repository Info
About This Server
一个用于管理聊天机器人、自动生成内容和处理社交媒体活动的综合 AI 平台。
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
AI Chatbot Platform
Overview
This project is a comprehensive AI-powered Chatbot Website Platform designed for businesses, agencies, and organizations to manage chatbots, automate content generation, and handle social media activities—all from a single, user-friendly dashboard. The platform supports multi-tenant environments, robust admin management, and seamless integration with various social media channels.
Key Features
-
Admin Management Dashboard:
- Secure, role-based access for admins, managers, and users.
- Manage users, tenants (clients/departments), chatbots, and platform settings.
-
AI Chatbot Management:
- Create, configure, and fine-tune AI chatbots for different channels (web, WhatsApp, social media, etc.).
- Deploy and monitor chatbots across multiple platforms.
-
Automatic AI Content Generation:
- Use AI to generate engaging content (text, images, videos) tailored for various social media platforms.
- Schedule and automate posts to maximize reach and engagement.
-
AI Social Media Handler:
- Connect and manage multiple social media accounts (Instagram, LinkedIn, etc.).
- Automate posting, monitor engagement, and analyze performance.
-
Multi-Tenant Support:
- Manage multiple clients or departments, each with isolated data and configurations.
-
Integrations & Webhooks:
- Connect with third-party services (CRM, analytics, messaging platforms).
- Set up webhooks to automate workflows and receive real-time updates.
-
API Key Management:
- Securely generate and manage API keys for integrations.
-
Centralized Database Management:
- Unified dashboard for managing chatbot data, user data, and analytics.
Use Cases
- Marketing Agencies: Manage chatbots and automate content for multiple clients from a single dashboard.
- Businesses: Automate customer support and social media marketing using AI-driven chatbots and content generation.
- IT/Admin Teams: Configure user roles, integrations, and monitor platform activity securely.
- Content Creators: Generate, schedule, and post AI-powered content to various social media channels automatically.
Technology Stack
Frontend
- React
- TypeScript
- Vite
- Tailwind CSS
- shadcn-ui
- Redux Toolkit
- TanStack React Query
- Radix UI
Backend
- Node.js
- Express
- MongoDB
- Mongoose
- CORS, Compression, Cookie Parser
Project Structure
.
├── Client/ # Frontend (React, Vite, TypeScript)
│ ├── src/
│ ├── public/
│ ├── package.json
│ └── ...
├── Server/ # Backend (Node.js, Express, MongoDB)
│ ├── Controller/
│ ├── Models/
│ ├── Routes/
│ ├── utils/
│ ├── app.js
│ ├── index.js
│ ├── package.json
│ └── ...
└── ...
Getting Started
Prerequisites
- Node.js (v16+ recommended)
- npm or yarn
- MongoDB (local or cloud)
Setup Instructions
-
Clone the repository
git clone <YOUR_GIT_URL> cd <YOUR_PROJECT_NAME> -
Install dependencies
# Backend cd Server npm install # Frontend cd ../Client npm install -
Configure Environment Variables
- Create a
.envfile in theServerdirectory with your MongoDB connection string and any other required variables.
- Create a
-
Run the Backend
cd Server npm start -
Run the Frontend
cd Client npm run dev- The frontend will be available at http://localhost:8080 (or the port specified in
vite.config.ts). - The backend will be available at http://localhost:3000 (or the port specified in your environment).
- The frontend will be available at http://localhost:8080 (or the port specified in
Deployment
- Frontend: Deploy using Vercel, Netlify, or any static hosting provider.
- Backend: Deploy to Render, Heroku, or your own server.
- Lovable Platform: For Lovable-specific deployment, visit your Lovable Project Dashboard and use the Share → Publish feature.
Custom Domain
To connect a custom domain, navigate to Project > Settings > Domains in Lovable and follow the instructions.
License
This project is licensed under the ISC License.
Contributing
Feel free to open issues or submit pull requests!"# mcp"
Quick Start
Clone the repository
git clone https://github.com/mohammedzaamin123/mcpInstall dependencies
cd mcp
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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