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 last9 · MCP Server · ★ 62
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is last9-mcp-server safe to install? View the security audit →
Last9 MCP Server Your AI agent doesn't know what's broken in production. This fixes that. Last9 MCP Server connects Claude, Cursor, Windsurf, and any other MCP-capable AI assistant directly to your production observability data — logs, metrics, traces, exceptions, database queries, alerts, and deployments. The agent stops guessing and starts reading the actual signal. Watch the demo Announcement post Start in 30 seconds (Hosted) No binary to install. No tokens to manage. One URL, OAuth in your browser, done. Find your org slug in your Last9 URL: Claude Code Type , select last9, authenticate. That's it. Cursor Settings MCP Add New MCP Server: Click Connect, complete OAuth. VS Code Requires v1.99+. Open Command Palette → MCP: Add Server, paste the URL, authenticate. Or directly in : ##
| Stars | 62 |
| Forks | 11 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.7652119766509/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-23 |
| Created | 2025-03-28 |
| Platforms | claude-code, go, mcp |
| Est. Tokens | ~21k |
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last9-mcp-server is Last9 MCP Server. It is categorized as a MCP Server with 62 GitHub stars.
last9-mcp-server is primarily written in Go. It covers topics such as ai, ai-agents, claude.
You can find installation instructions and usage details in the last9-mcp-server GitHub repository at github.com/last9/last9-mcp-server. The project has 62 stars and 11 forks, indicating an active community.
last9-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to last9-mcp-server on Agent Skills Hub include argus, ai-agent-session-center, runtm. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: