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yoda-digital

Cerebra Legal MCP Server

by yoda-digital

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:

  1. 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。

  2. 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。

  3. 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。

Related MCP server: Rules MCP Server

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:

  1. 启动服务器

  2. 发送工具/列表请求以获取可用工具

  3. 发送带有示例想法的 legal_think 请求

  4. 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:

  1. 这些是标准工具的专门版本

  2. 它们保持相同的人工智能→人类交互流程

  3. 它们具有额外的功能和参数

  4. 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。

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

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

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

执照

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