by ConechoAI · MCP Server · ★ 230
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Image Generation
npx nano-banana-mcp
git clone https://github.com/claude-code/nano-banana-mcp.gitTaken 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 | 230 |
| Forks | 94 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73/100 |
| Open Issues | 9 |
| Last Updated | 2025-11-04 |
| Created | 2025-09-04 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~5k |
Nano-Banana MCP Server 🍌 🤖 This project was entirely generated by Claude Code - an AI coding assistant that can create complete, production-ready applications from scratch. A Model Context Protocol (MCP) server that provides AI image generation and editing capabilities using Google's Gemini 2.5 Flash Image API.
These tools work well together with Nano-Banana-MCP for enhanced workflows:
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: