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 loonghao · MCP Server · ★ 103
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is wecom-bot-mcp-server safe to install? View the security audit →
WeCom Bot MCP Server A Model Context Protocol (MCP) compliant server implementation for WeCom (WeChat Work) bot. English | 中文 Features Support for multiple message types: Markdown messages (with @mentions and font colors) Markdown V2 messages (with tables, lists, embedded images) Image messages (base64/local file/URL) File messages Template card messages (textnotice and newsnotice) -
| Stars | 103 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.0764816144429/100 |
| Open Issues | 12 |
| Last Updated | 2026-09-25 |
| Created | 2025-01-02 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
Explore other popular mcp server tools:
wecom-bot-mcp-server is A Python server implementation for WeCom (WeChat Work) bot that follows the Model Context Protocol (MCP). This server provides a standardized interface for handling automated messaging and context-awa. It is categorized as a MCP Server with 103 GitHub stars.
wecom-bot-mcp-server is primarily written in Python.
You can find installation instructions and usage details in the wecom-bot-mcp-server GitHub repository at github.com/loonghao/wecom-bot-mcp-server. The project has 103 stars and 18 forks, indicating an active community.
wecom-bot-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
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: