by tathagat22 · MCP Server · ★ 79
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g plumb-mcpTaken 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 | 79 |
| Forks | 7 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 20 |
| Last Updated | 2026-10-10 |
| Created | 2026-05-23 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~17k |
Plumb () ⭐ If Plumb saves you tokens, star it on GitHub — it helps others find it. The Figma → code MCP with a verification loop. Designs go in, normalised specs come out, and drives headless Chrome to prove your rendered code actually matches what's in Figma.
Looking for a plumb-mcp alternative? If you're comparing plumb-mcp 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.
AI can draw UI directly on the Figma canvas via JavaScript, and read existing designs back as structured data.
📜 An MCP server for conversation history search and retrieval in Claude Code
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
MCP server for Claude Code/VSCode/Cursor/Windsurf to use editor self functionality. ⚡ Get real-time LSP diagno
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT
MCP server for YouTube — search videos, get transcripts, channels, and playlists. Works with Claude, Cursor &
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: