# mcp-use Framework

> Full-stack Model Context Protocol framework for developing MCP Apps for ChatGPT/Claude and MCP Servers for AI Agents, supporting both Python and TypeScript with built-in agent capabilities and rich UI components.

- **URL:** https://github.com/mcp-use/mcp-use
- **Category:** Developer Tools "Development Tools Mcp Servers"amp; IDE MCP Servers
- **Tags:** Framework, Python, Typescript
- **Featured:** yes
- **Updated:** 2026-04-23 14:13
- **Canonical page:** https://mcpserver.ever.works/items/mcp-use-framework

## Details

## Overview

mcp-use is a comprehensive full-stack framework for building Model Context Protocol applications and servers. It supports both Python and TypeScript, providing tools to create MCP Apps for ChatGPT and Claude, as well as MCP Servers for AI Agents.

## Framework Components

### MCP Apps
- Build interactive apps for ChatGPT and Claude
- Rich UI components and widgets
- Real-time updates
- User interaction handling
- State management

### MCP Servers
- Create servers for AI agents
- Built-in agent capabilities
- Tool and resource management
- Protocol compliance
- Transport handling

### Dual Language Support
- **Python**: Full-featured Python implementation
- **TypeScript**: Complete TypeScript support
- Shared protocol definitions
- Cross-language compatibility

## Features

### Application Development
- Pre-built UI components
- Form builders
- Data visualization
- Real-time updates
- Responsive design

### Server Development
- Tool definition helpers
- Resource management
- Prompt templates
- Sampling capabilities
- Error handling

### Agent Integration
- Built-in agent patterns
- Multi-agent coordination
- State persistence
- Event handling
- Workflow management

### Rich UI Components
- Forms and inputs
- Tables and grids
- Charts and graphs
- Modal dialogs
- Notifications

## Use Cases

- Building interactive MCP applications
- Creating custom MCP servers
- Developing AI agent systems
- Multi-agent workflows
- Enterprise MCP deployments
- Prototype to production
- Cross-platform MCP tools

## Python Implementation

```python
from mcp_use import MCPServer, tool

server = MCPServer("my-server")

@tool()
def my_tool(param: str) -> str:
    return f"Result: {param}"
```

## TypeScript Implementation

```typescript
import { MCPServer, tool } from 'mcp-use';

const server = new MCPServer('my-server');

tool('my-tool', (param: string) => {
  return `Result: ${param}`;
});
```

## Advanced Features

### App Builder
- Drag-and-drop interface
- Component library
- Theme customization
- Layout management

### Server Templates
- Quick start templates
- Common patterns
- Best practices
- Example implementations

### Development Tools
- Hot reload
- Debugging support
- Testing utilities
- Documentation generator

## Deployment

- Local development server
- Production deployment
- Docker containers
- Cloud platforms
- Edge deployment

## Technical Architecture

### Python Stack
- FastAPI for HTTP
- Pydantic for validation
- AsyncIO for concurrency

### TypeScript Stack
- Express for HTTP
- Zod for validation
- Promise-based async

## Integration

Built-in support for:
- ChatGPT
- Claude (Anthropic)
- Custom MCP clients
- Agent frameworks

## Community

- Active development
- Regular updates
- Example projects
- Documentation
- Community support

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