# mcp-server-dify
[](https://github.com/yuru-sha/mcp-server-dify/actions)
Model Context Protocol Server for Dify AI. This server enables LLMs to interact with Dify AI's chat completion capabilities through a standardized protocol.
## Features
- Integration with Dify AI chat completion API
- Restaurant recommendation tool (meshi-doko)
- Support for conversation context
- Streaming response support
- TypeScript implementation
## Installation
### Using Docker
```bash
# Build the Docker image
make docker
# Run with Docker
docker run -i --rm mcp/dify https://your-dify-api-endpoint your-dify-api-key
```
## Usage
### With Claude Desktop
Add the following configuration to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"dify": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-dify",
"https://your-dify-api-endpoint",
"your-dify-api-key"
]
}
}
}
```
Replace `your-dify-api-endpoint` and `your-dify-api-key` with your actual Dify API credentials.
### Tools
#### meshi-doko
Restaurant recommendation tool that interfaces with Dify AI:
Parameters:
- `LOCATION` (string): Location of the restaurant
- `BUDGET` (string): Budget constraints
- `query` (string): Query to send to Dify AI
- `conversation_id` (string, optional): For maintaining chat context
## Development
```bash
# Initial setup
make setup
# Build the project
make build
# Format code
make format
# Run linter
make lint
```
## License
This project is released under the [MIT License](LICENSE).
## Security
This server interacts with Dify AI using your provided API key. Ensure to:
- Keep your API credentials secure
- Use HTTPS for the API endpoint
- Never commit API keys to version control
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.