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gate MCP Server

GaaraZhu/gate

Score: 47.9 Rank #22432 MCP Server
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A deterministic privacy boundary between your data and AI.

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Overview

GaaraZhu/gate is a Rust tool licensed under MIT. A deterministic privacy boundary between your data and AI. Topics: agentic-ai, ai-governance, ai-privacy, ai-security, data-governance, llm-security, mcp, pii-protection, privacy-engineering, rust.

Ranked #22432 out of 24846 indexed tools.

Ecosystem

Rust MIT
agentic-aiai-governanceai-privacyai-securitydata-governancellm-securitymcppii-protectionprivacy-engineeringrust

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 216

216 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 83 days ago — a recent commit would boost your freshness score

Dependents medium impact

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

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AgentRank score for GaaraZhu/gate
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Matched Queries

topic:mcp

From the README

<p align="center">
  
</p>

<p align="center">
  <strong>A deterministic privacy boundary between your data and AI.<br>Intercepts query results before the model sees them — rule-driven, reproducible, and audit-ready.</strong>
</p>

<p align="center">
  <a href="https://github.com/GaaraZhu/gate/actions"></a>
  <a href="https://github.com/GaaraZhu/gate/releases"></a>
  <a href="https://opensource.org/licenses/MIT"></a>
  <a href="https://github.com/GaaraZhu/homebrew-gate"></a>
</p>

<p align="center">
  <strong>English</strong> | <a href="README.zh-CN.md">简体中文</a>
</p>

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AI agents increasingly access internal databases and APIs through CLI tools, scripts, and MCP servers. Without safeguards, sensitive data such as emails, phone numbers, tax identifiers, and payment details can be unintentionally exposed to LLM context windows.

`gate` intercepts query results before they reach the model and automatically redacts detected PII fields without requiring changes to existing agent workflow
Read full README on GitHub →

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