Legal MCP Server

A Model Context Protocol (MCP) compliant server for legal document analysis using Azure Blob Storage and Anthropic Claude API.

Features

• Document Management: List and retrieve pre-loaded .txt documents from Azure Blob Storage
• Prompt Library: Manage curated prompts for legal document analysis
• Streaming Analysis: Execute document analysis with real-time progress updates via MCP progress notifications
• MCP SSE Transport: Full compliance with MCP specification using Server-Sent Events

Prerequisites

• Node.js 18+
• Azure Storage Account with:
  • documents-texts container (for .txt documents)
  • prompts container (for prompt library JSON)
• Anthropic Claude API key with credits

Setup

1. Clone and install dependencies:

   git clone <your-repo-url>
   cd Legal-MCP
   npm install
   

2. Configure environment variables:

   cp .env.example .env
   # Edit .env with your actual values
   

3. Upload initial prompt library to Azure:

   # Using Azure CLI (after setting up connection)
   az storage blob upload \
     --account-name legalmcpstore \
     --container-name prompts \
     --name "library.json" \
     --file ./prompts/library.json \
     --connection-string "$AZURE_STORAGE_CONNECTION_STRING"
   

4. Upload documents to Azure:

   # Upload `.txt` files to the documents-texts container
   az storage blob upload \
     --account-name legalmcpstore \
     --container-name documents-texts \
     --name "your-document.txt" \
     --file ./path/to/your-document.txt \
     --connection-string "$AZURE_STORAGE_CONNECTION_STRING"
   

Running Locally

Development mode (with auto-reload):

npm run dev

Production mode:

npm run build
npm start

The server will start on http://localhost:3000 (or the port specified in PORT env var).

MCP Client Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "legal-mcp": {
      "command": "node",
      "args": ["/absolute/path/to/Legal-MCP/dist/index.js"],
      "env": {
        "AZURE_STORAGE_CONNECTION_STRING": "...",
        "ANTHROPIC_API_KEY": "..."
      }
    }
  }
}

Note: For SSE transport, you'll need to configure the HTTP endpoint instead. See MCP documentation for SSE client setup.

Testing with MCP Inspector

You can test the server using the MCP Inspector or any MCP-compatible client:

# Server should be running on http://localhost:3000/mcp
# Use an MCP client that supports SSE transport

Available Tools

1. list_documents: Returns all available .txt documents
2. list_prompts: Lists available analysis prompts (with optional search)
3. get_prompt: Retrieves full prompt details by ID
4. add_prompt: Adds a new user-contributed prompt
5. execute_analysis: Executes document analysis with streaming progress updates

Project Structure

legal-mcp/
 src/
    index.ts              # MCP server entry point
    storage/
       azure-blob.ts     # Azure Blob Storage client
       prompts.ts         # Prompt library management
    claude/
       client.ts         # Claude API client with streaming
    tools/
       documents.ts      # Document listing tool
       prompts.ts         # Prompt management tools
       execute.ts         # Analysis execution tool
    types.ts              # Shared TypeScript types
 prompts/
    library.json          # Initial prompt library
 package.json

Deployment to Azure

See the deployment section in the original plan for Azure App Service deployment instructions.

License

ISC