mcp-server-dify MCP Server

Use This MCP server To

Enable LLMs to perform chat completions using Dify AI API Support streaming chat responses in real-time applications Maintain conversation context for multi-turn dialogues Integrate restaurant recommendation tool within chat workflows Deploy as a Docker container for easy setup and scaling Connect LLM clients like Claude Desktop to Dify AI services

README

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 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.

mcp-server-dify FAQ

How do I install mcp-server-dify?

You can install it using Docker by building the image with 'make docker' and running it with your Dify API endpoint and key.

What programming language is mcp-server-dify implemented in?

It is implemented in TypeScript, ensuring type safety and modern JavaScript features.

Does mcp-server-dify support streaming responses?

Yes, it supports streaming chat completions for real-time interaction.

Can mcp-server-dify maintain conversation context?

Yes, it supports conversation context to enable multi-turn dialogues.

How do I configure mcp-server-dify with Claude Desktop?

Add the server configuration to your 'claude_desktop_config.json' with the appropriate command and arguments.

Is there any built-in tool included?

Yes, it includes a restaurant recommendation tool called meshi-doko.

Can I run mcp-server-dify without Docker?

While Docker is recommended for ease, you can run it using Node.js with the appropriate parameters.

Which LLM providers can use mcp-server-dify?

It is designed to work with any LLM supporting MCP, including OpenAI, Claude, and Gemini.