智法大脑
STDIO基于思维工具的法律推理分析服务器
基于思维工具的法律推理分析服务器
An enterprise-grade MCP server for legal reasoning and analysis based on the "think" tool concept from Anthropic's engineering blog.
Cerebra Legal provides three powerful tools for legal reasoning and analysis:
The server automatically detects legal domains (ANSC contestation, consumer protection, contract analysis) and provides domain-specific guidance, templates, and feedback.
# 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
npm start
The repository includes a test client that demonstrates how to interact with the server:
# Make the test client executable chmod +x test-client.js # Run the test client ./test-client.js
The test client will:
To add the server to Claude, update your MCP settings file with the following configuration:
Edit the file at ~/.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": [] } } }
Edit the file at ~/Library/Application Support/Claude/claude_desktop_config.json
(macOS) or the equivalent on your platform:
{ "mcpServers": { "cerebra-legal": { "command": "node", "args": ["/path/to/mcp-cerebra-legal-server/build/index.js"], "disabled": false, "alwaysAllow": [] } } }
Once the server is added to Claude, you can use the tools in your conversations:
For optimal AI interaction with these legal tools, it's essential to include proper guidance in the system prompt. These tools follow the same AI → Human interaction model as standard Cline tools but with domain-specific enhancements.
The system prompt should include detailed documentation for each tool:
## 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>
This guidance ensures the AI understands:
Without this guidance, the AI might not fully leverage the domain-specific capabilities built into these tools.
The legal_think tool helps you analyze complex legal issues with structured thinking:
I need to analyze an ANSC contestation where a claimant argues that technical specifications in a tender were too restrictive.
Claude will use the legal_think tool to:
When Claude needs more information to complete a legal analysis:
What specific provisions of the technical specifications are being challenged?
Claude will use the legal_ask_followup_question tool to:
When Claude is ready to present the final legal analysis:
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 will use the legal_attempt_completion tool to:
{ "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 }
{ "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 }
{ "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 }
The server is built with a modular architecture:
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
npm run build
# Run the test client ./test-client.js
This project is available on GitHub at: https://github.com/yoda-digital/mcp-cerebra-legal-server
MIT