# Dify Workflows

> Use this tool when you need to dynamically execute AI workflows across multiple Dify applications, requiring standardized input validation and error handling. It solves problems of workflow management and tool discovery, enabling seamless interaction between various AI applications. With JSON schemas as input and robust execution as output, Dify Workflows provides a reliable interface for automating complex AI tasks.

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

## Description

A TypeScript MCP server for Dify workflows that enables dynamic tool discovery and execution across multiple Dify AI applications. The server automatically loads Dify application configurations, converts their input parameters to JSON schemas, and provides a standardized interface for running AI workflows with robust input validation and error handling.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

## 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": "jerryokk-dify-workflows"
    }
  }
}
```

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