ToolRegistry — security grade SAFE, quality 72/100

Security audit verdict: SAFE · quality 72/100

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 Oaklight · MCP Server · ★ 61

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

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About ToolRegistry

ToolRegistry English Version | 中文版 A protocol-agnostic tool management library for function-calling LLMs. Documentation · arXiv Paper Ecosystem

agentic-aiai-agentsai-toolsanthropicfunction-callinggeminilangchain-toolsllmmcpopenai

Quick Facts

Stars61
Forks8
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score72.4948250521123/100
Open Issues8
Last Updated2026-09-16
Created2025-03-21
Platformsgemini, mcp, python
Est. Tokens~14k

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Frequently Asked Questions

What is ToolRegistry?

ToolRegistry is ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs (OpenAI, Anthropic, Gemini, LangChain, MCP). It is categorized as a MCP Server with 61 GitHub stars.

What programming language is ToolRegistry written in?

ToolRegistry is primarily written in Python. It covers topics such as agentic-ai, ai-agents, ai-tools.

How do I install or use ToolRegistry?

You can find installation instructions and usage details in the ToolRegistry GitHub repository at github.com/Oaklight/ToolRegistry. The project has 61 stars and 8 forks, indicating an active community.

What license does ToolRegistry use?

ToolRegistry is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ToolRegistry?

The top alternatives to ToolRegistry on Agent Skills Hub include eval-view, ha-claude, OpenAPI-MCP. 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:

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