by ttommyth · MCP Server · ★ 351
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ttommyth/interactive-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 | 351 |
| Forks | 31 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 77/100 |
| Open Issues | 9 |
| Last Updated | 2025-11-20 |
| Created | 2025-04-25 |
| Platforms | mcp, node |
| Est. Tokens | ~1319k |
interactive-mcp A MCP Server implemented in Node.js/TypeScript, facilitating interactive communication between LLMs and users. Note: This server is designed to run locally alongside the MCP client (e.g., Claude Desktop, VS Code), as it needs direct access to the user'
Looking for a interactive-mcp alternative? If you're comparing interactive-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.
An MCP server that autonomously evaluates web applications.
🎨 Vibe Design System - Official monday.com UI resources for application development in React.js
Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineeri
Spec-Driven Development MCP Server, not just Vibe Coding
TypeScript template for building Model Context Protocol (MCP) servers. Ships with declarative tools/resources,
The Crossroads for AI Data Exchanges. A unified, self-hostable web interface for discovering, configuring, and
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: