# Dify

> Use this tool when you need to integrate AI-driven workflow execution and manage applications programmatically, solving problems such as automated task execution and multi-step data processing. It takes in API keys and environment-based configuration as inputs and provides a standardized Model Context Protocol (MCP) interface as output. Ideal for use cases requiring flexible and scalable workflow management, such as AI-driven decision making across various domains.

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

## Description

This Dify MCP server, developed by an unnamed creator, integrates with the Dify API to enable AI-driven workflow execution through the Model Context Protocol. Built with Python and leveraging libraries like httpx and mcp, it provides tools for interacting with Dify workflows and applications. The server implements environment-based configuration for flexible API key management. By abstracting Dify API interactions into a standardized MCP interface, it enables AI systems to easily trigger and manage Dify workflows and applications. This implementation is valuable for applications requiring programmatic access to Dify capabilities, facilitating use cases such as automated task execution, multi-step data processing, and AI-driven decision making across various domains.

## 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:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yanxingliu-dify)
- **Repository:** <https://github.com/yanxingliu/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": "yanxingliu-dify"
    }
  }
}
```

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

---
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