by decocms · MCP Server · ★ 337
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 337 |
| Forks | 38 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 67/100 |
| Open Issues | 61 |
| Last Updated | 2026-03-09 |
| Created | 2025-03-14 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~7196k |
Deco CMS Open-source · TypeScript-first · Deploy anywhere Open-source control plane for your AI agents. Docs · Discord · decocms.com/studio TL;DR: Hire agents. Connect tools. Organize them into projects with a UI that fits the job. Track every token and dollar. Self-host or use the cloud.
These tools work well together with mesh for enhanced workflows:
Looking for a mesh alternative? If you're comparing mesh 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.
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and mor
Lightweight agent orchestration dev tool that lives in your repo
Absurdly easy Model Context Protocol Servers in Typescript
📜 An MCP server for conversation history search and retrieval in Claude Code
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistant
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: