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MCP Server for Dify AI

by yuru-sha
GitHub
JavaScript
MIT License
10
OverviewInspectNewSchemaRelated ServersReviewsScore
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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 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.

This server cannot be installed

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

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

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

  1. Features
    1. Installation
      1. Using Docker
    2. Usage
      1. With Claude Desktop
      2. Tools
    3. Development
      1. License
        1. Security
          1. Contributing

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