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 crbnos · MCP Server · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is carbon safe to install? View the security audit →
The operating system for manufacturing Discord · Website · Documentation Does the world need another ERP? We built Carbon after years of building end-to-end manufacturing systems with off-the-shelf solutions. We realized that: Modern, API-first tooling didn't exist Vendor lock-in bordered on extortion There is no "perfect ERP" because each company is unique We built Carbon to solve these problems ☝️ Architecture Carbon is designed to make it easy for you to extend the platform by buil
| Stars | 2,665 |
| Forks | 368 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 65.5058750725472/100 |
| Open Issues | 157 |
| Last Updated | 2026-10-03 |
| Created | 2024-06-03 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
Looking for a carbon alternative? If you're comparing carbon 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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carbon is Open-source manufacturing ERP, MES and QMS. Quoting, MRP, inventory, shop floor, quality and lot/serial traceability on one Postgres schema, with a REST API and MCP server. Self-host or use Carbon Clo. It is categorized as a MCP Server with 2.7k GitHub stars.
carbon is primarily written in TypeScript. It covers topics such as ai-agents, bill-of-materials, erp.
You can find installation instructions and usage details in the carbon GitHub repository at github.com/crbnos/carbon. The project has 2.7k stars and 368 forks, indicating an active community.
The top alternatives to carbon on Agent Skills Hub include agents, anythingmcp, full-stack-ai-agent-template. 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: