# Dify Management MCP

> Use this tool when you need to programmatically manage datasets, apps, and tools within a Dify instance, solving issues of manual configuration and scalability. It provides a core functionality of automated management, accepting inputs such as dataset and app configurations, and outputting managed resources. Utilize it in contexts where efficient and automated Dify instance management is crucial.

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

## Description

Enables programmatic management of a Dify instance, including datasets, apps, and tools.

## Trust

- **Trust score (0–1):** 1.00
- **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:** [Glama](https://glama.ai/mcp/servers/ckhkq38y7m)
- **Repository:** <https://github.com/LucasAllmaBI/MCP-Dify>

## 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": "lucasallmabi-mcp-dify"
    }
  }
}
```

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