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Llm Guard Privacy Gateway MCP Server

@Amywith

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

Amywith

提交者

zhongjiemei

关于 Llm Guard Privacy Gateway MCP Server

暂无概览

#llm-guard#privacy-gateway#security

Llm Guard Privacy Gateway MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "llm-guard-mcp": {
      "command": "python",
      "args": [
        "-m",
        "spacy",
        "download",
        "zh_core_web_sm",
        "--index-url",
        "https://pypi.tuna.tsinghua.edu.cn/simple/"
      ]
    }
  }
}

Llm Guard Privacy Gateway MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Llm Guard Privacy Gateway?

A privacy protection gateway based on the MCP (Model Context Protocol) protocol. It detects and filters sensitive information in LLM applications—automatically masking Chinese names, phone numbers, emails, intercepting API keys and RSA private keys, and blocking custom blacklist words. It wraps these capabilities as MCP tools, returning JSON results.

How to use Llm Guard Privacy Gateway?

Install dependencies with pip install -r requirements.txt. Use the Python function sanitize_prompt_mcp or the LLMSanitizer class. To run as an MCP server, execute python mcp_server.py or use the provided Docker image.

Key features of Llm Guard Privacy Gateway?

  • PII masking: identifies Chinese names, phone numbers, and emails.
  • Key interception: detects API keys, Alibaba Cloud AccessKeys, and RSA private keys.
  • Commercial blocking: predefined blacklist words trigger an intercepted status.
  • MCP encapsulation: logic exposed as MCP tools returning structured JSON.

Use cases of Llm Guard Privacy Gateway?

  • Sanitizing user prompts before sending to an LLM to prevent data leakage.
  • Filtering sensitive information in enterprise chat applications.
  • Protecting against accidental exposure of API keys or private keys.
  • Enforcing content policy by blocking predefined blacklist terms.

常见问题

1

What happens if spaCy model fails to download?

The system automatically falls back to built‑in regex detection. Accuracy may slightly decrease, but the server continues to run.

2

Does data processing require an internet connection?

No. Once dependencies are installed, all data filtering and detection is performed locally. The MCP server can run fully offline.

3

How can I customize the blacklist words?

Edit the `LLMSanitizer` class in `llm_guard.py` to modify the blacklist vocabulary or other detection rules.

4

What error handling mechanisms are in place?

All exceptions are caught gracefully. For example, if the presidio library fails, the system uses built‑in regex patterns without crashing the entire application.

5

Where is user data processed?

All data processing happens locally on the machine running the server, even when deployed via Docker. No sensitive data is sent to external services.

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