No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by modelcontextprotocol · MCP Server · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is quickstart-resources safe to install? View the security audit →
Quickstart Resources A repository of servers and clients from the following Model Context Protocol tutorials: Quickstart – a simple MCP weather server Building MCP clients – an LLM-powered chatbot MCP client Security Note These examples are intentionally minimal. If you expose an MCP server over a network (HTTP/SSE/WebSocket), add authentication and basic hardening (CORS allowlist, request size limits, timeouts, rate limits, and log redaction). See .
| Stars | 1,197 |
| Forks | 681 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 46.6289531539401/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-22 |
| Created | 2024-12-11 |
| Platforms | cli, node |
| Est. Tokens | ~14k |
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quickstart-resources is A repository of servers and clients from the Model Context Protocol tutorials. It is categorized as a MCP Server with 1.2k GitHub stars.
quickstart-resources is primarily written in TypeScript.
You can find installation instructions and usage details in the quickstart-resources GitHub repository at github.com/modelcontextprotocol/quickstart-resources. The project has 1.2k stars and 681 forks, indicating an active community.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: