# Dify

> Use this tool when you need to integrate AI workflows with MCP-compatible applications, enabling seamless interactions and standardized interfaces for chatbots, content generation, and data analysis pipelines. It converts Dify applications into MCP tools, supporting streaming responses and configurable via YAML. Ideal for developers seeking to leverage Dify's workflow automation and AI orchestration within MCP ecosystems.

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

## Description

This Dify MCP server, developed as an open-source project, enables integration of Dify workflows with MCP-compatible applications. Built with TypeScript and leveraging the Model Context Protocol SDK, it converts Dify applications into MCP tools, supporting streaming responses and configurable via YAML. The implementation focuses on exposing Dify's AI workflow capabilities through a standardized MCP interface, making it easier to incorporate Dify-powered AI into various applications. It's particularly useful for developers looking to leverage Dify's workflow automation and AI orchestration features within MCP ecosystems, enabling use cases like chatbots, content generation, and data analysis pipelines that can seamlessly interact with other MCP tools and resources.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/faiz-gear-dify)
- **Repository:** <https://github.com/faiz-gear/dify-mcp-server-ts>

## 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": "faiz-gear-dify"
    }
  }
}
```

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