# Dify.ai Workflow

> Use this tool when you need to integrate AI assistants with complex workflows, solving the problem of inaccessible workflow logic by transforming Dify workflows into dynamically discoverable MCP tools. It takes configuration inputs from a YAML file and exposes Dify applications as separate tools with derived input schemas, handling parameter validation and response formatting. This enables seamless interaction between AI assistants and Dify workflows, making it ideal for organizations with existing workflow investments.

Canonical page: https://skillsregistry.net/skills/teddylee777-dify  
JSON: https://api.skillsregistry.net/v1/skills/teddylee777-dify

## Description

Dify MCP Server provides a bridge between AI assistants and Dify.ai's workflow applications through the Model Context Protocol. Built by teddylee777, it transforms Dify workflows into MCP tools that can be dynamically discovered and called by AI assistants, handling parameter validation and response formatting. The server loads configuration from a YAML file containing Dify API keys and base URLs, then exposes each configured Dify application as a separate tool with appropriate input schemas derived from the Dify user input forms. This implementation is particularly useful for organizations that have built complex workflows in Dify and want to make them accessible to AI assistants without rebuilding the logic.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/teddylee777-dify)
- **Repository:** <https://github.com/teddylee777/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": "teddylee777-dify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teddylee777-dify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teddylee777-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