# Dify

> Use this tool when you need to integrate AI applications with the Dify platform, enabling programmatic access and manipulation of Dify applications through the Model Context Protocol. It solves problems related to authentication, request formatting, and response parsing, providing a seamless bridge between MCP-compatible clients and Dify's API. This tool is ideal for AI workflows that require creating, managing, and deploying AI applications, allowing for streamlined interaction with the Dify platform.

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

## Description

A Dify MCP server implementation that enables AI assistants to interact with the Dify platform through the Model Context Protocol. Built with TypeScript, this server provides a bridge between MCP-compatible clients and Dify's API, allowing AI systems to leverage Dify's capabilities for creating, managing, and deploying AI applications. The implementation handles authentication, request formatting, and response parsing, making it straightforward to integrate Dify's functionality into AI workflows. It's particularly useful for scenarios where AI assistants need to access or manipulate Dify applications programmatically.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

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

## 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": "zhuzhoulin-dify"
    }
  }
}
```

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