MCP Server Dify

What is mcp-server-dify

mcp-server-dify is a powerful tool designed by yuru-sha to facilitate seamless communication between large language models (LLMs) and Dify AI's chat completion capabilities. It operates as a Model Context Protocol (MCP) server, which is part of a standardized system that allows AI tools to interact with data sources and services securely. By using mcp-server-dify, developers can enhance AI chat applications with advanced features like restaurant recommendations through its meshi-doko tool, all while maintaining context in conversations.

How to Use mcp-server-dify

To get started with mcp-server-dify, you need to integrate it into your existing AI setup. Here’s a simplified guide to help you through the process:

1. Installation: You can install the server using NPM with a simple command:

   npm install @modelcontextprotocol/server-dify
   

2. Configuration: If you’re using Claude Desktop, you need to configure the server by adding specific settings to your configuration file:

   {
     "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 to ensure secure and proper communication.

3. Development & Maintenance:

   • Use make setup for initial setup.
   • Use make build to compile the project.
   • Format and lint the code using make format and make lint respectively.

Key Features of mcp-server-dify

mcp-server-dify comes packed with several robust features that make it a valuable addition to any AI project:

• Integration with Dify AI: This server seamlessly connects with Dify AI's chat completion API, enhancing the interaction abilities of your AI applications.

• Restaurant Recommendation Tool (meshi-doko): One standout feature is the meshi-doko tool, which provides restaurant recommendations based on location and budget. It efficiently handles queries and maintains chat context, allowing for a personalized user experience.

• Support for Conversation Context: The server keeps track of conversations, ensuring coherent and contextually relevant responses throughout user interactions.

• Streaming Response Support: It allows for real-time data streaming, improving the responsiveness and interactivity of AI applications.

• TypeScript Implementation: Built with TypeScript, the server offers type safety and modern JavaScript features, contributing to more reliable and maintainable code.

This tool is especially useful for developers aiming to build sophisticated AI chat solutions that require dynamic and context-aware interactions. With its robust security measures, including the secure handling of API keys and HTTPS support, mcp-server-dify stands out as a reliable choice for enhancing AI capabilities within secure and scalable environments.