pyrhubarb-mcp 0.1.2

MCP server for Rhubarb document and video understanding capabilities

Rhubarb MCP Server

A dedicated MCP server package that exposes all of Rhubarb's document and video understanding capabilities through the Model Context Protocol (MCP).

This is a standalone package designed for easy integration with MCP-compatible AI assistants like Cline, Claude Desktop, and other MCP clients.

✨ Features

🔧 Tools (8 total)

• analyze_document - Multi-modal document Q&A, summarization, structured extraction
• stream_document_chat - Streaming conversations with chat history
• extract_entities - Named Entity Recognition with 50+ built-in entities + PII detection
• generate_extraction_schema - AI-assisted JSON schema generation
• create_classification_samples - Vector sample creation for document classification
• classify_document - Document classification using pre-trained samples
• view_classification_sample - Classification sample inspection
• analyze_video - Video content analysis with Amazon Nova models

📚 Resources (4 available)

• rhubarb://entities/built-in - List of 50+ built-in entity types
• rhubarb://models/supported - Supported Bedrock models and capabilities
• rhubarb://schemas/built-in/{type} - Built-in schemas for common use cases
• rhubarb://classification-samples/{bucket}/{id} - Classification sample details

🚀 Quick Start

No Installation Required!

The MCP server automatically installs when first used through uvx or pipx:

# Test the server (optional)
uvx pyrhubarb-mcp@latest --check-deps

# Run with AWS profile (via environment variable)
AWS_PROFILE=my-profile uvx pyrhubarb-mcp@latest

# Run with access keys (via environment variables)
AWS_ACCESS_KEY_ID=AKIA... AWS_SECRET_ACCESS_KEY=secret... uvx pyrhubarb-mcp@latest

🔧 MCP Client Configuration

Cline Integration

{
  "rhubarb": {
    "command": "uvx",
    "args": [
      "pyrhubarb-mcp@latest", 
      "--aws-region", "us-east-1",
      "--default-model", "claude-sonnet"
    ],
    "env": {
      "AWS_PROFILE": "your-aws-profile"
    }
  }
}

Claude Desktop Integration

{
  "mcpServers": {
    "rhubarb": {
      "command": "uvx", 
      "args": [
        "pyrhubarb-mcp@latest",
        "--default-model", "claude-sonnet"
      ],
      "env": {
        "AWS_PROFILE": "your-aws-profile"
      }
    }
  }
}

Using Access Keys (for CI/CD)

{
  "rhubarb": {
    "command": "uvx",
    "args": [
      "pyrhubarb-mcp@latest",
      "--aws-region", "us-west-2",
      "--default-model", "nova-pro"
    ],
    "env": {
      "AWS_ACCESS_KEY_ID": "AKIAIOSFODNN7EXAMPLE",
      "AWS_SECRET_ACCESS_KEY": "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY"
    }
  }
}

Alternative: Using pipx

{
  "rhubarb": {
    "command": "pipx",
    "args": [
      "run", "pyrhubarb-mcp@latest",
      "--default-model", "claude-sonnet"
    ],
    "env": {
      "AWS_PROFILE": "your-profile"
    }
  }
}

📋 Configuration Options

Command-Line Arguments

Argument	Description	Default
--aws-region	AWS region	us-east-1
--enable-cri	Enable cross-region inference	false
--default-model	Default model	claude-sonnet
--default-bucket	S3 bucket for classification samples	-
--check-deps	Check dependencies and exit	-

Environment Variables (AWS Credentials)

Variable	Description	Example
AWS_PROFILE	AWS profile name	my-profile
AWS_ACCESS_KEY_ID	AWS access key ID	AKIAIOSFODNN7EXAMPLE
AWS_SECRET_ACCESS_KEY	AWS secret access key	wJalrXUtnFEMI/K7MDENG...
AWS_REGION	AWS region (can also use CLI arg)	us-east-1

Supported Models

Model	Documents	Video	Best For
claude-opus	✅	❌	Complex reasoning, detailed analysis
claude-sonnet	✅	❌	Balanced performance and cost
claude-haiku	✅	❌	Fast, lightweight tasks
nova-pro	✅	✅	High-quality video analysis
nova-lite	✅	✅	Cost-effective video processing

💡 Usage Examples

Once configured, ask your AI assistant to use Rhubarb's tools:

Document Analysis

Use the analyze_document tool on s3://my-bucket/report.pdf to extract:
- Key findings
- Recommendations  
- Financial data

Structure the output as JSON with those three categories.

Entity Extraction

Use extract_entities on ./contract.pdf to find all:
- PERSON entities
- ORGANIZATION entities  
- MONEY amounts
- Important dates
- Any PII information

Video Analysis

Use analyze_video on s3://my-bucket/presentation.mp4 to:
- Summarize key points
- Extract any text shown on screen
- Identify main topics discussed

Document Classification

First create classification samples from ./training_manifest.csv in bucket 'my-docs'.
Then classify ./unknown_document.pdf using those samples.

🏗️ Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   MCP Client    │────│ pyrhubarb-mcp    │────│   pyrhubarb     │
│  (Cline, etc.)  │    │   (MCP Server)   │    │  (Core Library) │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                                                         │
                                               ┌─────────────────┐
                                               │  Amazon Bedrock │
                                               │ (Claude & Nova) │
                                               └─────────────────┘

Key Benefits

• 🔌 Plug & Play - No pre-installation, auto-installs on first use
• 🐍 Native Python - Direct access to Rhubarb capabilities
• 💬 Conversation Memory - Maintains chat history across interactions
• 🔍 Resource Discovery - Built-in resources for exploration
• ⚡ High Performance - Optimized for large documents and video processing

🛠️ Development

Local Development

# Clone and install
git clone https://github.com/awslabs/rhubarb.git
cd rhubarb/pyrhubarb-mcp
poetry install

# Run locally  
poetry run pyrhubarb-mcp --check-deps

Dependencies

This package automatically installs:

• pyrhubarb - Core Rhubarb document/video processing
• fastmcp - MCP server framework
• boto3 - AWS SDK for Python

🔐 Security & Requirements

AWS Credentials

Requires AWS credentials with permissions for:

• Amazon Bedrock - For Claude and Nova model access
• Amazon S3 - For document/video storage (optional but recommended)

Supported Regions

Works in any AWS region with Amazon Bedrock availability. Commonly used regions:

• us-east-1 (N. Virginia) - Default, supports all models
• us-west-2 (Oregon) - All models available
• eu-west-1 (Ireland) - Most models available

📚 Related Links

• Rhubarb Documentation - Complete docs for the core library
• Rhubarb GitHub - Source code and examples
• Model Context Protocol - Learn about MCP
• FastMCP - The MCP framework we use

📄 License

Apache 2.0 - See LICENSE for details.

🤝 Contributing

This package is part of the larger Rhubarb project. Please see the main CONTRIBUTING.md for contribution guidelines.