# Dify AI

> Use this tool when you need to integrate natural language interactions into your application, such as chatbots or AI-driven customer service systems, to provide enhanced conversational experiences. It solves problems related to conversational AI, including restaurant recommendations and context-aware dialogue management. The tool accepts text inputs and returns streaming responses through a standardized protocol, making it ideal for use cases requiring human-like language interactions.

Canonical page: https://skillsregistry.net/skills/yuru-sha-dify  
JSON: https://api.skillsregistry.net/v1/skills/yuru-sha-dify

## Description

This MCP server implementation provides a bridge to Dify AI's chat completion capabilities, enabling AI assistants to interact with Dify's API through a standardized protocol. Developed by yuru-sha, it offers tools for restaurant recommendations and supports conversation context and streaming responses. Built with TypeScript and integrating the Model Context Protocol SDK, the server focuses on secure API key management and easy setup within the Claude Desktop environment. It is particularly useful for applications requiring natural language interactions, such as chatbots or AI-driven customer service systems, leveraging Dify AI's language model capabilities for enhanced conversational experiences.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yuru-sha-dify)
- **Repository:** <https://github.com/yuru-sha/mcp-server-dify>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "yuru-sha-dify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yuru-sha-dify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yuru-sha-dify/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt