# Dify Cloud MCP Server

> Use this tool when you need to integrate a SQLite database with Dify Cloud for accurate LLM responses, solving issues of data inconsistency and inaccuracy. It exposes the database as MCP tools, allowing for seamless interaction and retrieval of real database records. Ideal for applications requiring data-driven responses, this tool ensures reliable and trustworthy output by bridging the gap between the database and Dify Cloud's LLM capabilities.

Canonical page: https://skillsregistry.net/skills/quares-1-dify-mcp  
JSON: https://api.skillsregistry.net/v1/skills/quares-1-dify-mcp

## Description

Exposes a SQLite database as MCP tools for Dify Cloud, ensuring LLM responses are based on real database records rather than generated data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ll7pnsiwl4)
- **Repository:** <https://github.com/QUARES-1/dify-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": "quares-1-dify-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quares-1-dify-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quares-1-dify-mcp/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