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 mrexodia · MCP Server · ★ 89
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is zeromcp safe to install? View the security audit →
zeromcp Minimal MCP server implementation in pure Python. A lightweight, handcrafted implementation of the Model Context Protocol focused on what most users actually need: exposing tools with clean Python type annotations. Features ✨ Zero dependencies - Pure Python, standard library only 🎯 Type-safe - Native Python type annotations for everything 🚀 Fast - Minimal overhead, maximum performance 🛠️ Handcrafted - Written by a human1, verified against the spec 🌐 HTTP/SSE transport - Streamable responses 📡 Stdio transport - For legacy clients 📦 Tiny - Less than 1,000 lines of code Installation Or with uv: Quick Start Then manually test your MCP server with the inspector: Once things are working you can configure the : json { "mcpServers": { "my-s
| Stars | 89 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.6310197232163/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-15 |
| Created | 2025-11-15 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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zeromcp is Zero-dependency MCP server implementation.. It is categorized as a MCP Server with 89 GitHub stars.
zeromcp is primarily written in Python. It covers topics such as mcp, mcp-sdk, modelcontextprotocol.
You can find installation instructions and usage details in the zeromcp GitHub repository at github.com/mrexodia/zeromcp. The project has 89 stars and 5 forks, indicating an active community.
zeromcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to zeromcp on Agent Skills Hub include magg, mcpstore, mcp-graphql. 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: