by PlumoAI · MCP Server · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/PlumoAI/plumoai.git
Taken from the project's README on GitHub.
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 | 67 |
| Forks | 24 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 59/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-11 |
| Created | 2026-03-06 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~16k |
🚀 PlumoAI - We are in Beta. If you find any issues during setup then Join our Discord Live Support call on https://discord.gg/WarY2yWZkg 🌍 World's First 100% FREE Autonomous AI Employee Platform OR you can say AI Employees OS (Operating System) 🤖 Hire AI Employees In Minutes. Works like human PlumoAI is the world's first platform designed to run Autonomous AI Employees.
Looking for a plumoai alternative? If you're comparing plumoai 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.
Modular AI agent workflow automation platform with schedulers, tools, and observability. https://vmdeshpande.g
🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
[archived] c4 GenAI Suite
OpenFlow — a visual builder for multi-agent AI workflows, built on the opencode engine
AgentCat is an analytics platform for MCP server owners 🐱.
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: