mcp-chat-demo
A sample chat application demonstrating integration with Model Context Protocol (MCP) servers
Documentation
MCP Chat Demo
A sample chat application demonstrating integration with Model Context Protocol (MCP) servers.
Project Structure
mcp-chat-demo/
├── package.json
├── README.md
├── .gitignore
├── src/
│ ├── App.tsx
│ ├── main.tsx
│ ├── components/
│ │ ├── Chat.tsx
│ │ ├── MessageList.tsx
│ │ ├── MessageInput.tsx
│ │ └── MCPConnection.tsx
│ ├── lib/
│ │ ├── mcp-client.ts
│ │ └── types.ts
│ └── styles/
│ └── main.css
└── public/
└── index.htmlSetup Instructions
1. Clone the repository:
git clone https://github.com/yourusername/mcp-chat-demo.git
cd mcp-chat-demo2. Install dependencies:
npm install3. Start the development server:
npm run devFeatures
- Connect to local or remote MCP servers
- Real-time chat interface
- Support for MCP tools and resources
- Message history
- Error handling and reconnection logic
Technology Stack
- React 18
- TypeScript
- Vite
- TailwindCSS
- MCP TypeScript SDK
Frequently asked questions
What is mcp-chat-demo?
mcp-chat-demo is A sample chat application demonstrating integration with Model Context Protocol (MCP) servers
How do I install mcp-chat-demo?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is mcp-chat-demo open source?
Yes — it is hosted on GitHub at https://github.com/ehartye/mcp-chat-demo and has 1 stars.
Related MCP tools
🙌 OpenHands: Code Less, Make More for the Model Context Protocol. Enhance AI assistants with powerful integrations. Python-based implementation.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management. Python-based implementation.
基于大模型搭建的聊天机器人,同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择ChatGPT/Claude/DeepSeek/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-gra...
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers. Built for the Model Context Protocol to enhance AI capabilities.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP