Librarian MCP Server

An intelligent document management MCP server that leverages mental models and orchestration patterns to provide context-aware document storage, retrieval, and analysis.

Overview

The Librarian MCP Server is part of the cos mcp ecosystem and implements sophisticated document management capabilities using the Model Context Protocol. It features:

• Intelligent Classification: Multi-dimensional document analysis

• Mental Model Integration: Leverages frameworks from the MCP Orchestrator

• Proactive Assistance: Pattern detection and organization suggestions

• Flexible Storage: Adapter pattern for multiple storage backends

• Semantic Search: Natural language document retrieval

Related MCP server: KnowledgeMCP

Architecture

Built using patterns from the MCP Orchestrator:

• Classification Engine for multi-dimensional analysis

• Intent Router for operation routing

• Storage Adapters for backend flexibility

• Proactive patterns for intelligent suggestions

See ARCHITECTURE.md for detailed design documentation.

Installation

npm install
npm run build

Usage

Run the Server

npm start

Configure with Claude Desktop

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "librarian": {
      "command": "node",
      "args": ["/path/to/librarian/dist/index.js"]
    }
  }
}

Available Tools

Document Management

• store_document: Store documents with automatic classification

• search_documents: Search using natural language or filters

• get_document: Retrieve specific documents

• update_document: Update document content or metadata

• delete_document: Remove documents from library

Analysis & Organization

• analyze_document: Apply mental models for document analysis

• organize_library: AI-driven document organization

Examples

Store a Document

{
  "tool": "store_document",
  "arguments": {
    "content": "# Project Plan\n\nThis document outlines...",
    "metadata": {
      "title": "Q1 2024 Project Plan",
      "author": "John Doe",
      "tags": ["planning", "quarterly"]
    },
    "options": {
      "autoClassify": true,
      "detectDuplicates": true
    }
  }
}

Search Documents

{
  "tool": "search_documents",
  "arguments": {
    "query": "project plans from last quarter",
    "filters": {
      "domain": ["business"],
      "dateRange": {
        "start": "2024-01-01"
      }
    },
    "options": {
      "semantic": true,
      "limit": 5
    }
  }
}

Analyze Document

{
  "tool": "analyze_document",
  "arguments": {
    "documentId": "doc-123",
    "analysisType": "summary",
    "framework": "swot"
  }
}

Integration with MCP Orchestrator

The Librarian can be integrated with the MCP Orchestrator for advanced workflows:

1. Use orchestrator to analyze complex queries

2. Route document operations through mental models

3. Chain multiple operations for sophisticated workflows

Example orchestrated workflow:

1. Gather intent about document needs
2. Search relevant documents
3. Analyze using appropriate mental models
4. Organize based on patterns
5. Generate insights

Development

Project Structure

librarian/
├── src/
│   ├── adapters/      # Storage backend adapters
│   ├── engines/       # Classification and analysis engines
│   ├── tools/         # MCP tool definitions
│   ├── types.ts       # TypeScript type definitions
│   ├── LibrarianServer.ts  # Main server implementation
│   └── index.ts       # Entry point
├── ARCHITECTURE.md    # Detailed architecture documentation
├── package.json
└── README.md

Adding New Features

1. New Storage Backend: Implement the StorageAdapter interface

2. New Analysis Type: Add to AnalysisType enum and implement handler

3. New Organization Method: Add to OrganizeMethod and implement logic

Testing

# Run in development mode
npm run dev

# Test with MCP Inspector
npx @modelcontextprotocol/inspector dist/index.js

Future Enhancements

• PostgreSQL adapter with vector embeddings

• Integration with filesystem MCP for local files

• Browser MCP integration for web content

• Real-time collaboration features

• Advanced duplicate detection

• Custom mental model definitions

• Batch import/export capabilities

License

MIT

Contributing

Contributions welcome! Please follow the existing patterns and ensure TypeScript compilation succeeds before submitting PRs.