IntelliConnect — security grade SAFE, quality 53/100

Security audit verdict: SAFE · quality 53/100

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 ruanrongman · MCP Server · ★ 145

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is IntelliConnect safe to install? View the security audit →

About IntelliConnect

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agentiot-coreiot-platformmcp-clientmcp-serverxiaozhi-aixiaozhi-mcpxiaozhi-serverxioazhi-esp32

Quick Facts

Stars145
Forks34
LanguageJava
CategoryMCP Server
LicenseApache-2.0
Quality Score52.7124623525867/100
Open Issues4
Last Updated2026-09-09
Created2024-02-04
Platformscli, java, mcp
Est. Tokens~17k

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Frequently Asked Questions

What is IntelliConnect?

IntelliConnect is 本项目为xiaozhi-esp32提供后端服务 | A Powerful AI agent IoT platform core.. It is categorized as a MCP Server with 145 GitHub stars.

What programming language is IntelliConnect written in?

IntelliConnect is primarily written in Java. It covers topics such as agent, iot-core, iot-platform.

How do I install or use IntelliConnect?

You can find installation instructions and usage details in the IntelliConnect GitHub repository at github.com/ruanrongman/IntelliConnect. The project has 145 stars and 34 forks, indicating an active community.

What license does IntelliConnect use?

IntelliConnect is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to IntelliConnect?

The top alternatives to IntelliConnect on Agent Skills Hub include multimodal-agents-course, mcp-gateway, mcp-endpoint-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse MCP Server tools