by dentalpin · MCP Server · ★ 111
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 111 |
| Forks | 94 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 72/100 |
| Open Issues | 56 |
| Last Updated | 2026-11-06 |
| Created | 2026-03-30 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
DentalPin Source-available (BSL 1.1) dental clinic management software, converting to Apache 2.0 four years after publication. Patients, odontogram, scheduling, treatment plans, billing and a built-in AI copilot — modular, self-hosted, API-first. ▶ Try the live demo Sign in with / — full admin access to a seeded clinic. Reset every night, so poke at anything.
These tools work well together with dentalpin for enhanced workflows:
Looking for a dentalpin alternative? If you're comparing dentalpin 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.
The open source agentic dental software. Built for AI.
Turn feature specs into merged PRs with a self-supervising swarm of coding agents — parallel execution, isolat
An MCP server to query any Postgres database in natural language.
🚀 Universal SDK for building next-gen MCP servers
This is the public release of MIRA OS. Discrete memories decay through momentum loss, tools auto-configure whe
API 200 is an open source API gateway to simplify 3rd-party integrations. Import endpoints, set up caching, re
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: