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The ai-guardrails-three-examples MCP server was last committed 1mo ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

ai-guardrails-three-examples MCP Server

Name: eagleeyethinker/ai-guardrails-three-examples
Rating: 2.8 (1 reviews)
Author: eagleeyethinker

eagleeyethinker/ai-guardrails-three-examples

Score: 45.0 Rank #6065 Agent Framework

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Three practical examples of AI guardrails: LLM guardrails, agent tool-calling authorization, and multi-agent governance patterns for enterprise AI systems.

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Overview

eagleeyethinker/ai-guardrails-three-examples is a Python agent tool licensed under MIT. Three practical examples of AI guardrails: LLM guardrails, agent tool-calling authorization, and multi-agent governance patterns for enterprise AI systems.

Ranked #6065 out of 27488 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Freshness high impact

Last commit was 34 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 1mo ago

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"agent tool"

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