novac42/upstream-digest-server

Chrome Digest Server

A comprehensive MCP (Model Context Protocol) server for accessing and analyzing Chrome release notes, generating AI-powered digests, and extracting feature information across enterprise and web platform updates.

🎯 What You Can Get

This MCP server provides access to:

📊 Processed Chrome Release Data

• Enterprise Release Notes: Security policies, admin features, management capabilities
• Web Platform Updates: CSS, JavaScript, Web APIs, performance improvements
• WebGPU Features: Graphics and compute capabilities
• Profile Features: User profile and sync-related updates

📝 AI-Generated Digests

• Enterprise Digests: Focused on IT administrators and enterprise deployments
• Web Platform Digests: Targeted at web developers and platform engineers
• Bilingual Support: English and Chinese digest generation
• Focus Area Filtering: Get updates for specific areas (AI, Security, Performance, etc.)

🔍 Feature Analysis

• Profile Feature Extraction: Identify profile-related features across releases
• Area-based Classification: Features organized by functional areas
• Link Extraction: 100% accurate link discovery from release notes
• Version Comparison: Track changes across Chrome versions

🚀 Quick Start

Prerequisites

• Python 3.8 or higher
• pip package manager

Installation

# Clone the repository
git clone <repository-url>
cd upstream-digest-server

# Create and activate virtual environment
python3 -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

MCP Server Setup

For Claude Desktop

Add to your config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "chrome-digest": {
      "command": "/path/to/upstream-digest-server/.venv/bin/python",
      "args": ["/path/to/upstream-digest-server/fast_mcp_server.py"]
    }
  }
}

Test the Server

# Activate virtual environment
source .venv/bin/activate

# Start the MCP server
python fast_mcp_server.py

📚 Available MCP Tools

Release Monitoring

• check_latest_releases: Check for new Chrome releases
• crawl_missing_releases: Download missing release notes

Digest Generation

• enterprise_digest: Generate enterprise-focused digest

  • Parameters: version, channel, focus_area, custom_instruction
  • Focus areas: productivity, security, management, all

• webplatform_digest: Generate web platform digest

  • Parameters: version, channel, focus_areas, language, target_area
  • Focus areas: ai, webgpu, devices, css, security, performance

• merged_digest_html: Create combined HTML output

  • Parameters: version, channel, force_regenerate

Data Processing

• process_enterprise_notes: Process raw enterprise release notes
• extract_profile_features: Extract profile-related features
• merge_webgpu_notes: Merge WebGPU with Chrome release notes
• process_webgpu_yaml: Generate structured YAML from merged content
• split_features_by_heading: Split content by heading levels

💡 Usage Examples

Generate an Enterprise Digest

{
  "tool": "enterprise_digest",
  "parameters": {
    "version": 138,
    "focus_area": "security"
  }
}

Generate a Web Platform Digest with AI Focus

{
  "tool": "webplatform_digest",
  "parameters": {
    "version": 138,
    "focus_areas": ["ai", "webgpu"],
    "language": "bilingual"
  }
}

Extract Profile Features

{
  "tool": "extract_profile_features",
  "parameters": {
    "version": 138,
    "output_format": "markdown"
  }
}

Check for Latest Releases

{
  "tool": "check_latest_releases",
  "parameters": {
    "release_type": "both",
    "channel": "stable"
  }
}

📁 Data Organization

upstream-digest-server/
├── upstream_docs/           # Source data
│   ├── release_notes/      # Raw release notes
│   └── processed_releasenotes/  # Processed data
├── digest_markdown/        # Generated digests (MD)
├── digest_html/           # Generated digests (HTML)
├── feature_details/       # Feature-specific data
└── prompts/              # AI prompt templates

🔧 Direct Python Usage

For batch processing or automation, you can also use the Python scripts directly:

# Process enterprise release notes
python src/process_enterprise_release_note.py

# Merge WebGPU notes
python src/merge_webgpu_release_notes_v2.py --version 139

# Monitor releases
python src/processors/monitor_releases.py

# Generate HTML from markdown
python src/convert_md2html.py

📖 Documentation

• Technical Overview: See for detailed architecture and pipeline information
• Development Guide: Check for development instructions
• API Reference: MCP tools are self-documenting through the protocol

🛟 Support

Common Questions

Q: How often is the data updated? A: Use check_latest_releases to check for new releases. Chrome typically releases monthly.

Q: Can I customize the digest format? A: Yes, use the custom_instruction parameter in digest tools to add specific requirements.

Q: What Chrome versions are supported? A: Generally Chrome 100+ with better support for recent versions (130+).

Q: Can I get digests in other languages? A: Currently supports English, Chinese, and bilingual. More languages can be added via prompt templates.

Troubleshooting

If the MCP server doesn't start:

1. Ensure virtual environment is activated
2. Check all dependencies are installed: pip install -r requirements.txt
3. Verify the path in your MCP client configuration

If tools aren't working:

1. Check that source data exists in upstream_docs/
2. Run check_latest_releases to download missing data
3. Review server logs for specific errors

🌟 Features

• 100% Link Accuracy: Deterministic link extraction without AI hallucination
• Bilingual Support: Native English and Chinese digest generation
• Focus Area Filtering: Get only the updates relevant to your needs
• Enterprise & Developer: Separate tracks for different audiences
• Fault Tolerant: Smart file discovery and fallback mechanisms
• Fast Processing: Efficient YAML pipeline for quick analysis

📄 License

This project is licensed under the MIT License.

🙏 Acknowledgments

• Chrome Platform Team for comprehensive release notes
• FastMCP framework for excellent MCP server implementation
• The open-source community for continuous improvements

Get Chrome updates that matter to you, powered by AI 🚀

For technical details and architecture information, please refer to the .