mcp-server-dify

@yuru-sha

About mcp-server-dify

Sample MCP Server for Dify AI

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-dify": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "mcp/dify",
        "https://your-dify-api-endpoint",
        "your-dify-api-key"
      ]
    }
  }
}

Tools

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Overview

What is mcp-server-dify?

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.

How to use mcp-server-dify?

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).

Key features of mcp-server-dify

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

Use cases of mcp-server-dify

Querying Dify AI for restaurant recommendations based on location and budget
Building conversational agents that maintain multi-turn context
Enabling LLMs to access Dify AI’s specialized chat capabilities through a standardized protocol
Rapid prototyping with Docker or direct CLI invocation

FAQ from mcp-server-dify

What are the prerequisites for using mcp-server-dify?

You need a Dify AI API endpoint URL and an API key. Either Docker (to run the container) or Node.js (to use npx) is required.

How do I install and run mcp-server-dify with Docker?

Build the image with make docker, then run: docker run -i --rm mcp/dify <your-dify-api-endpoint> <your-dify-api-key>.

What does the meshi-doko tool do?

It is a restaurant recommendation tool that interfaces with Dify AI. It accepts a location, budget, query, and optional conversation ID to maintain context across calls.

Does mcp-server-dify support streaming?

Yes, streaming response support is listed as a feature.

How should I secure my API credentials?

Keep your API key private, use HTTPS for the endpoint, and never commit the key to version control.

Frequently asked questions

What are the prerequisites for using mcp-server-dify?

You need a Dify AI API endpoint URL and an API key. Either Docker (to run the container) or Node.js (to use npx) is required.

How do I install and run mcp-server-dify with Docker?

Build the image with `make docker`, then run: `docker run -i --rm mcp/dify <your-dify-api-endpoint> <your-dify-api-key>`.

What does the meshi-doko tool do?

It is a restaurant recommendation tool that interfaces with Dify AI. It accepts a location, budget, query, and optional conversation ID to maintain context across calls.