by 3choff · MCP Server · ★ 250
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/3choff/mcp-chatbot.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 | 250 |
| Forks | 29 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73/100 |
| Open Issues | 2 |
| Last Updated | 2024-12-05 |
| Created | 2024-12-05 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~1k |
MCP Chatbot This chatbot example demonstrates how to integrate the Model Context Protocol (MCP) into a simple CLI chatbot. The implementation showcases MCP's flexibility by supporting multiple tools through MCP servers and is compatible with any LLM provider that follows OpenAI API standards. If you find this project helpful, don’t forget to ⭐ star the repository or buy me a ☕ coffee.
These tools work well together with mcp-chatbot 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: