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MCP server · Science

LLM Differential Privacy Gateway

· github.com/yashmahajan10/llm-differential-privacy-gateway

Noisegate: a differential privacy gateway that lets an untrusted LLM agent query sensitive data over MCP (Model Context Protocol), with a formal guarantee no individual's record can leak even if the agent is adversarial - enforcement lives in trusted code below the model, validated by a runnable attack gallery.

Unclaimed ai-agentsai-safetyanthropicclaudedata-privacydifferential-privacyduckdbfastapilaplace-mechanismllmllm-securitymcpmodel-context-protocolprivacyprivacy-engineeringpythonsecuritystreamlittrust-boundary
InstallView source
39Low

Scored 2 months ago · breakdown

About LLM Differential Privacy Gateway

LLM Differential Privacy Gateway is an MCP server in the Science category: noisegate: a differential privacy gateway that lets an untrusted LLM agent query sensitive data over MCP (Model Context Protocol), with a formal guarantee no individual's record can leak even if the agent is adversarial - enforcement lives in trusted code below the model, validated by a runnable attack gallery.

Install

From source
git clone https://github.com/yashmahajan10/llm-differential-privacy-gateway

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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About LLM Differential Privacy Gateway

How do I install LLM Differential Privacy Gateway?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is LLM Differential Privacy Gateway safe to use with an AI agent?

Its trust score is 39 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is LLM Differential Privacy Gateway still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.