Anti-Bullshit MCP Server

反胡扯 MCP 服务器

模型上下文协议服务器,用于使用多种认识论框架分析声明、验证来源和检测操纵。

特征

该服务器提供了三种用于检测和分析胡说八道的主要工具:

1. 分析索赔

使用多种认识论框架分析主张:

  • 实证框架
    • 注重可验证的证据
    • 评估可重复的结果
    • 交叉引用学术和科学来源
    • 评估方法的严谨性
  • 负责任的框架
    • 评估伦理影响
    • 评估社区影响
    • 考虑传统知识
    • 验证来源可信度
  • 谐波框架
    • 评估与既定知识的一致性
    • 整合多种视角
    • 考虑上下文的适当性
    • 评估系统性影响
  • 多元化框架
    • 结合所有其他框架
    • 考虑多种认知方式
    • 评估语境的适当性
    • 评估实际成果
    • 检查与社区价值观的一致性

2. 验证源

  • 提取并分析引用来源
  • 验证可信度和权威性
  • 跨多个平台的交叉引用
  • 评估方法的合理性
  • 检查利益冲突

3. 检查操作

检测操纵策略包括:

  • 情感操纵
  • 社会压力
  • 虚假权威
  • 人为稀缺
  • 紧迫感的创造

安装

先决条件

  • Node.js >= 18.0.0
  • npm 或 yarn

设置

  1. 安装依赖项:
npm install
  1. 构建服务器:
npm run build
  1. 添加到 Claude 桌面(MacOS):
{ "mcpServers": { "anti-bullshit": { "command": "node", "args": ["/path/to/anti-bullshit-mcp-server/build/index.js"] } } }

路径: ~/Library/Application Support/Claude/claude_desktop_config.json

或者对于 VSCode 扩展:路径: ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

使用示例

// Analyze a claim const result = await analyze_claim({ text: "Studies show that 87% of experts agree with this controversial claim", framework: "empirical" }); // Validate sources const validation = await validate_sources({ text: "According to Dr. Smith's groundbreaking research...", framework: "responsible" }); // Check for manipulation const check = await check_manipulation({ text: "Act now! This exclusive offer expires in the next 10 minutes!" });

发展

对于使用自动重建的开发:

npm run watch

使用 MCP Inspector 进行调试:

npm run inspector

测试时间表

服务器使用 2025-01-01 作为索赔时间分析的参考日期(与古德曼的“grue”悖论和类似的哲学难题特别相关)。

执照

麻省理工学院

作者

Teglon 实验室( teglon@vibes.lol

贡献

  1. 分叉存储库
  2. 创建你的功能分支( git checkout -b feature/amazing-feature
  3. 提交您的更改( git commit -am 'Add some amazing feature'
  4. 推送到分支( git push origin feature/amazing-feature
  5. 打开拉取请求

You must be authenticated.

A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

使用多种认识论框架来分析主张、验证来源和检测操纵,以确保信息的可信度和道德性。

  1. Features
    1. 1. analyze_claim
    2. 2. validate_sources
    3. 3. check_manipulation
  2. Installation
    1. Prerequisites
    2. Setup
  3. Usage Examples
    1. Development
      1. Testing Timeline
        1. License
          1. Author
            1. Contributing

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