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mcp-server-dify

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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

Related MCP server: MCP Perplexity Search

Installation

Using Docker

# 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:

{ "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

# 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.

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.

-
security - not tested
A
license - permissive license
-
quality - not tested

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