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 Epistates · MCP Server · ★ 98
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is turbomcp safe to install? View the security audit →
TurboMCP Production-ready Rust SDK for the Model Context Protocol (MCP) with zero-boilerplate development and progressive enhancement. Build MCP servers in seconds with automatic schema generation, type-safe handlers, and multiple transport protocols. Requirements Rust 1.89.0+ (Edition 2024) - Check with Tokio async runtime Installation Add to your : Or with cargo: Feature Presets TurboMCP uses feature flags for progressive enhancement. Choose a preset based on your needs: All tr
| Stars | 98 |
| Forks | 22 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.8224545563178/100 |
| Last Updated | 2026-10-03 |
| Created | 2025-08-26 |
| Platforms | cli, mcp, rust |
| Est. Tokens | ~31k |
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turbomcp is A full featured, enterprise grade rust MCP SDK. It is categorized as a MCP Server with 98 GitHub stars.
turbomcp is primarily written in Rust. It covers topics such as mcp, mcp-client, mcp-sdk.
You can find installation instructions and usage details in the turbomcp GitHub repository at github.com/Epistates/turbomcp. The project has 98 stars and 22 forks, indicating an active community.
turbomcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to turbomcp on Agent Skills Hub include gopher-mcp, magg, director. 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: