# Dify Dataset Retriever

> Use this tool when you need to integrate dataset retrieval capabilities into AI-powered workflows, allowing AI assistants to query and retrieve information from datasets without directly managing API integration details. It solves problems of knowledge base retrieval and data access, providing a discoverable and executable tool for AI agents. The Dify Dataset Retriever takes in queries and prompts as inputs and returns relevant dataset information as output.

Canonical page: https://skillsregistry.net/skills/wangle201210-dify-retriever  
JSON: https://api.skillsregistry.net/v1/skills/wangle201210-dify-retriever

## Description

Dify Retriever MCP is a Go-based server implementation that integrates with Dify's dataset retrieval capabilities through the Model Context Protocol. This server exposes Dify's retrieval functionality as a tool that can be discovered and executed by AI assistants, allowing them to query and retrieve information from Dify datasets. Built using the mark3labs MCP-Go framework, it supports both resource and prompt capabilities, making it suitable for applications that need to incorporate knowledge base retrieval into AI-powered workflows without directly managing the Dify API integration details.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wangle201210-dify-retriever)
- **Repository:** <https://github.com/wangle201210/dify-retriever-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": "wangle201210-dify-retriever"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wangle201210-dify-retriever` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wangle201210-dify-retriever/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