MCP Servers

Dify AI Server

Enables LLMs to interact with Dify AI's chat completion API, including conversation context support and a restaurant recommendation tool.

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mcp-server-dify

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 NPM

npm install @modelcontextprotocol/server-dify

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.

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