mcp-cn-commerce — not yet audited

by TonyWang-hub · MCP Server · ★ 53

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

About mcp-cn-commerce

中国电商 MCP 连接器:8 个平台、155 个已注册工具。开源标准版,含能力矩阵与实际工程验收记录;真实商家联调状态逐项公开。Chinese commerce MCP connectors with documented capabilities and validation status.

agent-toolai-agentai-toolsbusiness-datachina-ecommerceclaudedata-integrationdoudianecommercejd

Quick Facts

Stars53
Forks10
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score57.5846202483452/100
Open Issues11
Last Updated2026-09-14
Created2026-06-08
Platformsclaude-code, mcp, python
Est. Tokens~13k

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Frequently Asked Questions

What is mcp-cn-commerce?

mcp-cn-commerce is 中国电商 MCP 连接器:8 个平台、155 个已注册工具。开源标准版,含能力矩阵与实际工程验收记录;真实商家联调状态逐项公开。Chinese commerce MCP connectors with documented capabilities and validation status.. It is categorized as a MCP Server with 53 GitHub stars.

What programming language is mcp-cn-commerce written in?

mcp-cn-commerce is primarily written in Python. It covers topics such as agent-tool, ai-agent, ai-tools.

How do I install or use mcp-cn-commerce?

You can find installation instructions and usage details in the mcp-cn-commerce GitHub repository at github.com/TonyWang-hub/mcp-cn-commerce. The project has 53 stars and 10 forks, indicating an active community.

What license does mcp-cn-commerce use?

mcp-cn-commerce is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-cn-commerce?

The top alternatives to mcp-cn-commerce on Agent Skills Hub include youtube-connector-mcp, google-analytics-mcp, claude-historian-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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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