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 googleapis · MCP Server · ★ 76
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-toolbox-sdk-js safe to install? View the security audit →
MCP Toolbox SDKs for JS This repository contains JavaScript SDKs for MCP Toolbox. These SDKs allow you to load and use tools defined in your MCP Toolbox server as standard JS functions or objects within your Agentic applications. For comprehensive guides, tutorials, and advanced configuration, visit the Main Documentation Site. Available Packages Quick Start Contributing License Support Available Packages This repository hosts the following TS packages. Visit the Main Documentation Site for detailed installation and usage instructions:
| Stars | 76 |
| Forks | 20 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.0974242094541/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-10 |
| Created | 2025-05-05 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~14k |
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mcp-toolbox-sdk-js is Javascript SDK for interacting with the MCP Toolbox for Databases.. It is categorized as a MCP Server with 76 GitHub stars.
mcp-toolbox-sdk-js is primarily written in TypeScript. It covers topics such as databases, genai, langchain.
You can find installation instructions and usage details in the mcp-toolbox-sdk-js GitHub repository at github.com/googleapis/mcp-toolbox-sdk-js. The project has 76 stars and 20 forks, indicating an active community.
mcp-toolbox-sdk-js is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-toolbox-sdk-js on Agent Skills Hub include palico-ai, cymbal-air-toolbox-demo, weam. 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: