Cerebra Legal MCP 服务器

基于Anthropic 工程博客中的“思考”工具概念，用于法律推理和分析的企业级 MCP 服务器。

概述

Cerebra Legal 提供了三种强大的法律推理和分析工具：

legal_think - 一种结构化的法律推理工具，可帮助通过特定领域的指导和模板分析复杂的法律问题。
legal_ask_followup_question - 一种专门用于在法律背景下提出后续问题的工具，具有特定领域的选项。
legal_attempt_completion - 一种以适当的结构和引用格式呈现法律分析结果的工具。

该服务器自动检测法律领域（ANSC 争议、消费者保护、合同分析）并提供特定领域的指导、模板和反馈。

特征

域检测：自动识别分析的合法域
特定领域指导：针对不同法律领域提供定制指导
结构化模板：提供特定领域的法律分析模板
引用格式：正确格式化法律引用
思维质量分析：提供法律推理质量的反馈
修订支持：允许修改以前的想法

安装

# Clone the repository
git clone https://github.com/yoda-digital/mcp-cerebra-legal-server.git
cd mcp-cerebra-legal-server

# Install dependencies
npm install

# Build the project
npm run build

用法

运行服务器

npm start

测试服务器

该存储库包括一个测试客户端，演示如何与服务器交互：

# Make the test client executable
chmod +x test-client.js

# Run the test client
./test-client.js

测试客户端将：

启动服务器
发送工具/列表请求以获取可用工具
发送带有示例想法的 legal_think 请求
显示服务器的响应

添加到克劳德

要将服务器添加到 Claude，请使用以下配置更新您的 MCP 设置文件：

对于 VSCode 扩展

编辑文件~/.config/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/cline_mcp_settings.json ：

{
  "mcpServers": {
    "cerebra-legal": {
      "command": "node",
      "args": ["/path/to/mcp-cerebra-legal-server/build/index.js"],
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

对于克劳德桌面应用程序

编辑~/Library/Application Support/Claude/claude_desktop_config.json (macOS) 或您平台上的等效文件：

{
  "mcpServers": {
    "cerebra-legal": {
      "command": "node",
      "args": ["/path/to/mcp-cerebra-legal-server/build/index.js"],
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

使用 Claude 中的工具

将服务器添加到 Claude 后，您可以在对话中使用这些工具：

系统提示集成

为了使 AI 与这些法律工具实现最佳交互，必须在系统提示中包含适当的指导。这些工具遵循与标准 Cline 工具相同的 AI → 人机交互模型，但针对特定领域进行了增强。

系统提示应包括每个工具的详细文档：

## legal_think
Description: A structured legal reasoning tool that helps analyze complex legal issues with domain-specific guidance and templates. This tool enables step-by-step legal analysis with feedback on reasoning quality.

Parameters:
- thought: (required) The current legal reasoning step
- thoughtNumber: (required) Current thought number in sequence
- totalThoughts: (required) Estimated total thoughts needed
- nextThoughtNeeded: (required) Whether another thought step is needed
- category: (optional) Legal domain category (auto-detected if not provided)
- references: (optional) Array of legal references
- isRevision: (optional) Whether this revises previous thinking
- revisesThoughtNumber: (optional) Which thought is being reconsidered
- requestGuidance: (optional) Whether to request domain-specific guidance
- requestTemplate: (optional) Whether to request a domain-specific template

Usage:
<legal_think>
<thought>Your legal reasoning step here</thought>
<thoughtNumber>Current thought number</thoughtNumber>
<totalThoughts>Estimated total thoughts</totalThoughts>
<nextThoughtNeeded>true or false</nextThoughtNeeded>
<category>Legal domain (optional)</category>
<references>Array of references (optional)</references>
<isRevision>true or false (optional)</isRevision>
<revisesThoughtNumber>Thought number being revised (optional)</revisesThoughtNumber>
<requestGuidance>true or false (optional)</requestGuidance>
<requestTemplate>true or false (optional)</requestTemplate>
</legal_think>

## legal_ask_followup_question
Description: Ask the user a legal domain-specific question to gather additional information needed to complete the task. This tool enhances the standard ask_followup_question with legal domain detection, terminology formatting, and domain-specific suggested options.

Parameters:
- question: (required) The question to ask the user. This will be automatically enhanced with appropriate legal terminology.
- options: (optional) An array of 2-5 options for the user to choose from. If not provided, domain-specific options will be automatically suggested.
- context: (optional) Additional context to help with domain detection and question formatting.

Usage:
<legal_ask_followup_question>
<question>Your question here</question>
<options>
Array of options here (optional), e.g. ["Option 1", "Option 2", "Option 3"]
</options>
<context>Additional context to help with domain detection (optional)</context>
</legal_ask_followup_question>

## legal_attempt_completion
Description: Present the result of your work to the user with proper legal structure and formatting. This tool enhances the standard attempt_completion with legal domain detection, document structuring, and citation formatting.

Parameters:
- result: (required) The result of the task. This will be automatically formatted with proper legal structure.
- command: (optional) A CLI command to execute to show a live demo of the result to the user.
- context: (optional) Additional context to help with domain detection and result formatting.

Usage:
<legal_attempt_completion>
<result>
Your final result description here
</result>
<command>Command to demonstrate result (optional)</command>
<context>Additional context to help with domain detection (optional)</context>
</legal_attempt_completion>

本指南确保人工智能理解：

这些是标准工具的专门版本
它们保持相同的人工智能→人类交互流程
它们具有额外的功能和参数
如何正确格式化工具调用

如果没有这种指导，人工智能可能无法充分利用这些工具内置的特定领域功能。

1. 使用legal_think

legal_think工具可以帮助你以结构化的思维分析复杂的法律问题：

I need to analyze an ANSC contestation where a claimant argues that technical specifications in a tender were too restrictive.

Claude 将使用 legal_think 工具来：

检测合法领域（ANSC 争议）
提供特定领域的指导
提供结构化的分析模板
对法律推理的质量提供反馈
支持修改先前的想法

2. 使用legal_ask_followup_question

当克劳德需要更多信息来完成法律分析时：

What specific provisions of the technical specifications are being challenged?

Claude 将使用 legal_ask_followup_question 工具来：

使用适当的法律术语来格式化问题
提供特定领域的选项供用户选择
检测上下文感知提问的合法领域

3. 使用legal_attempt_completion

当克劳德准备提出最终的法律分析时：

Based on my analysis, the technical specifications requiring "minimum 5 years experience" appear disproportionate and likely violate Article 33(2) of Law 131/2015 on public procurement.

Claude 将使用 legal_attempt_completion 工具来执行以下操作：

用适当的法律结构格式化结论
提取并格式化法律引文
将分析组织成清晰的部分
提供专业的法律文件格式

工具输入模式

法律思考

{
  "thought": "Analyzing ANSC contestation where claimant argues technical specifications were too restrictive.",
  "thoughtNumber": 1,
  "totalThoughts": 5,
  "nextThoughtNeeded": true,
  "category": "ansc_contestation",  // Optional, auto-detected if not provided
  "references": ["Law 131/2015", "ANSC Decision #12345"],  // Optional
  "isRevision": false,  // Optional
  "revisesThoughtNumber": null,  // Optional
  "requestGuidance": true,  // Optional
  "requestTemplate": true  // Optional
}

法律问题

{
  "question": "What specific provisions of the technical specifications are being challenged?",
  "options": [  // Optional, auto-generated if not provided
    "Are you challenging the experience requirements?",
    "Are you challenging the technical capacity requirements?",
    "Are you challenging the financial requirements?",
    "Are you challenging the certification requirements?"
  ],
  "context": "ANSC contestation regarding procurement of IT equipment"  // Optional
}

合法尝试完成

{
  "result": "Based on the analysis of ANSC contestation #12345, the technical specifications requiring 'minimum 5 years experience' appear disproportionate and likely violate Article 33(2) of Law 131/2015 on public procurement.",
  "command": null,  // Optional
  "context": "ANSC contestation analysis"  // Optional
}

建筑学

该服务器采用模块化架构构建：

域检测器：识别分析的合法域
法律知识库：提供特定领域的指导和模板
引用格式化程序：正确格式化法律引用
工具实现：处理每个工具的逻辑

发展

项目结构

mcp-cerebra-legal-server/
├── src/
│   ├── shared/           # Shared components
│   │   ├── DomainDetector.ts
│   │   ├── LegalKnowledgeBase.ts
│   │   ├── CitationFormatter.ts
│   │   └── types.ts
│   ├── tools/            # Tool implementations
│   │   ├── LegalThinkTool.ts
│   │   ├── LegalAskFollowupQuestionTool.ts
│   │   └── LegalAttemptCompletionTool.ts
│   ├── utils/            # Utilities
│   │   └── logger.ts
│   └── index.ts          # Main server entry point
├── build/                # Compiled JavaScript
├── test-client.js        # Test client
├── package.json
└── tsconfig.json

建筑

npm run build

测试

# Run the test client
./test-client.js

存储库

该项目可在 GitHub 上找到： https://github.com/yoda-digital/mcp-cerebra-legal-server

参考

“思考”工具：让克劳德在复杂的工具使用情况下停下来思考- 人因工程博客

执照

麻省理工学院