mcp-server-dify
About
mcp-server-dify is a Model Context Protocol server that enables LLMs to interact with Dify AI’s chat completion API. Written in TypeScript, it provides a standardized interface for chat, streaming responses, and conversation context.
Details
- Author
- yuru-sha
- GitHub stars
- 11
- Downloads
- 303
- Categories
- Other
Jump to
- Integration with Dify AI chat completion API
- Restaurant recommendation tool (meshi-doko)
- Support for maintaining conversation context
- Streaming response support
- TypeScript implementation with CI, linting, and formatting
- Docker and npx deployment options
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
mcp-server-difyCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via Docker (make docker then docker run -i --rm mcp/dify <endpoint> <key>) or run directly with npx. Configure it in Claude Desktop by adding the endpoint and API key to your claude_desktop_config.json. Invoke its tools, such as the meshi-doko tool for restaurant recommendations, by supplying the required parameters (LOCATION, BUDGET, query, optional conversation_id).
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp-server-dify": {
"mcp-server-dify": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/dify",
"https://your-dify-api-endpoint",
"your-dify-api-key"
]
}
}
}
}McpServers
{
"mcp-server-dify": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/dify",
"https://your-dify-api-endpoint",
"your-dify-api-key"
]
}
}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
```bash
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