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 junjiem · MCP Server · ★ 139
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dify-plugin-agent-mcp_sse safe to install? View the security audit →
Dify 1.0 Plugin Support MCP Tools Agent strategies Author: Junjie.M Type: agent-strategy Github Repo: https://github.com/junjiem/dify-plugin-agent-mcpsse Github Issues: issues Description Agent strategies collection that provide and (Support by protocol through or transport). 提供 和 的 Agent 策略集合 （支持通过 或 传输方式使用 协议来）。 MCP Servers config, support multiple MCP services. The following example: MCP服务配置，支持多个MCP服务。 如下示例： OR json { "mcpServers": { "servername1": {
| Stars | 139 |
| Forks | 50 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 67.6630488136207/100 |
| Open Issues | 26 |
| Last Updated | 2026-04-15 |
| Created | 2025-03-14 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~70k |
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dify-plugin-agent-mcp_sse is Dify 1.0 Plugin Support MCP Tools Agent strategies. It is categorized as a MCP Server with 139 GitHub stars.
dify-plugin-agent-mcp_sse is primarily written in Python. It covers topics such as dify, dify-plugins, mcp.
You can find installation instructions and usage details in the dify-plugin-agent-mcp_sse GitHub repository at github.com/junjiem/dify-plugin-agent-mcp_sse. The project has 139 stars and 50 forks, indicating an active community.
The top alternatives to dify-plugin-agent-mcp_sse on Agent Skills Hub include dify-mcp-client, multimodal-agents-course, agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: