# Dify

> Use this tool when you need to integrate AI capabilities into MCP-based systems, enabling seamless interaction with text generation and other AI services. It solves problems of complex API integration, handling streaming responses, and authentication management. The Dify MCP server takes in API requests and outputs streamlined AI-generated responses, ideal for developers building MCP-compatible applications.

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

## Description

This Dify MCP server, developed for integrating Dify's AI capabilities with the Model Context Protocol, provides a bridge between Dify's API and MCP-compatible clients. Built with TypeScript and leveraging the MCP SDK, it enables AI assistants to interact with Dify's features, including text generation and potentially other AI services. The implementation focuses on efficient API communication, handling streaming responses, and managing authentication. It's particularly useful for developers looking to incorporate Dify's AI capabilities into MCP-based systems, allowing for seamless integration of Dify's functionalities without deep knowledge of its API intricacies.

## 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:** security
- **Updated:** 2026-09-28

## Source

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

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