dify-mcp-server — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by YanxingLiu · MCP Server · ★ 280

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About dify-mcp-server

Model Context Protocol (MCP) Server for dify workflows A simple implementation of an MCP server for using dify. It achieves the invocation of the Dify workflow by calling the tools of MCP. 📰 News [2025/4/15] zNow supports directly using environment variables to pass and , making it more convenient to use with cloud-hosted platforms. 🔨Installation The server can be installed via Smithery or manually. Step1: prepare config.yaml or enviroments You can configure the server using either environment variables or a file. Method 1: Using Environment Variables (Recommended for Cloud Platforms) Set the following environment variables: : The base URL for your Dify API. : A comma-separated list of your Dify App Secret Keys (SKs). Each SK typically corresponds to a different Dify workflow you want to make available via MCP. Method 2: Using Create a file to store your Dify base URL and App SKs. Example : : The base URL for your Dify API.

Quick Facts

Stars280
Forks39
LanguagePython
CategoryMCP Server
Quality Score65.6918449239429/100
Open Issues3
Last Updated2025-04-20
Created2024-12-25
Platformsmcp, python
Est. Tokens~3k

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Frequently Asked Questions

What is dify-mcp-server?

dify-mcp-server is Model Context Protocol (MCP) Server for dify workflows. It is categorized as a MCP Server with 280 GitHub stars.

What programming language is dify-mcp-server written in?

dify-mcp-server is primarily written in Python.

How do I install or use dify-mcp-server?

You can find installation instructions and usage details in the dify-mcp-server GitHub repository at github.com/YanxingLiu/dify-mcp-server. The project has 280 stars and 39 forks, indicating an active community.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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