# Dify Workflow

> Use this tool when you need to integrate custom workflows with AI assistants, solving the problem of limited interoperability between workflow applications and AI systems. Dify Workflow takes in custom functions defined in Dify and outputs MCP-compatible server endpoints with structured input schemas, allowing AI assistants to interact with these workflows. It is ideal for use cases where simple workflow apps need to be exposed to MCP clients, enabling efficient communication between Dify's workflow capabilities and MCP-enabled AI assistants.

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

## Description

MCP Server transforms Dify workflow applications into MCP-compatible servers, allowing AI assistants to interact with custom functions defined in Dify. Developed by hjlarry, this plugin enables users to create simple workflow apps in Dify, expose them as endpoints with structured input schemas, and then connect these endpoints to MCP clients like Cursor. The implementation requires minimal setup - just creating a workflow in Dify, adding an endpoint that selects the app, and copying the endpoint URL to the MCP client - making it an efficient bridge between Dify's workflow capabilities and MCP-enabled AI assistants.

## Trust

- **Trust score (0–1):** 0.84
- **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/hjlarry-dify-workflow)
- **Repository:** <https://github.com/hjlarry/dify-plugin-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": "hjlarry-dify-workflow"
    }
  }
}
```

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