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 adamzhang1987 · MCP Server · ★ 71
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is kingdee-k3cloud-mcp safe to install? View the security audit →
Kingdee K3Cloud MCP English | 中文 金蝶云星空 K3Cloud MCP Server,让 AI 助手(Claude Desktop、Claude Code、Cursor、Cline、Cherry Studio、Openclaw 等任意支持 MCP 协议的客户端)通过自然语言查询和操作金蝶 ERP 系统。 提示:支持 Skill 机制的 AI Agent(Claude Code、openclaw、hermes 等)可配合 kingdee-k3cloud-skill 获得更佳体验。Skill 为 Agent 注入金蝶表单字段、常用查询模式和工作流知识,大幅减少试错次数。 MCP Server for Kingdee K3Cloud ERP. Connect AI assistants to your ERP system via the Model Context Protocol. 功能特性 15 个 MCP 工具:覆盖查询、大数据量导出、新增、提交、审
| Stars | 71 |
| Forks | 21 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.0132185372804/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-07 |
| Created | 2026-04-11 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~15k |
Looking for a kingdee-k3cloud-mcp alternative? If you're comparing kingdee-k3cloud-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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kingdee-k3cloud-mcp is 金蝶MCP Server(Kingdee K3Cloud MCP):让 Claude、Cursor 等 AI 助手通过自然语言查询和操作金蝶云星空 ERP。. It is categorized as a MCP Server with 71 GitHub stars.
kingdee-k3cloud-mcp is primarily written in Python. It covers topics such as ai-agent, anthropic, claude.
You can find installation instructions and usage details in the kingdee-k3cloud-mcp GitHub repository at github.com/adamzhang1987/kingdee-k3cloud-mcp. The project has 71 stars and 21 forks, indicating an active community.
kingdee-k3cloud-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to kingdee-k3cloud-mcp on Agent Skills Hub include KingdeeMCP, google-analytics-mcp, claude-prompts. 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: