Happy slice of mcp pizzaMCP.pizza
Fire in da houseTop Tip:Paying $100+ per month for Perplexity, MidJourney, Runway, ChatGPT and other tools is crazy - get all your AI tools in one site starting at $15 per month with Galaxy AI Fire in da houseCheck it out free

starbridge

MCP.Pizza Chef: helmut-hoffer-von-ankershoffen

Starbridge is an MCP server that bridges Claude Desktop with popular productivity platforms like Google Workspace and Atlassian tools. It enables real-time, structured context sharing and interaction between Claude-powered AI models and these work environments. By integrating these platforms, Starbridge facilitates AI-enhanced workflows, allowing models to access, analyze, and act on data from emails, documents, calendars, and project management tools within Google and Atlassian ecosystems. This integration supports secure, scoped, and observable interactions, improving collaboration and automation in professional settings.

Use This MCP server To

Integrate Claude Desktop with Google Workspace for AI-assisted email management Connect Claude Desktop to Atlassian Jira for project tracking Enable AI-driven document analysis in Google Docs Automate task updates in Atlassian Confluence via Claude Synchronize calendar events with AI insights from Claude Desktop Facilitate cross-platform data sharing between Google and Atlassian tools

README

⭐ Starbridge

License PyPI - Python Version CI Read the Docs Quality Gate Security Maintainability Technical Debt Code Smells CodeQL Dependabot Renovate enabled Coverage Ruff MyPy GitHub - Version GitHub - Commits PyPI - Version PyPI - Status Docker - Version Docker - Size Copier Open in Dev Containers Open in GitHub Codespaces

Warning

This project is currently in pre-alpha phase, i.e. partly functional. Feel free to already watch or star the repository to stay updated on its progress.

Tip

📚 Online documentation - 📖 PDF Manual

Note

🧠 This project was scaffolded using the template oe-python-template with copier.

Integrates Claude Desktop with the web, Google and Atlassian workspaces.

  1. Make Claude a team member: Makes Claude an informed member of your organisation by accessing your organization's key knowledge resources.
  2. Integrate research and knowlege management: Enables your teams to contribute, refine, and maintain your organisation's knowledge resources within Claude - seamlessly integrating research and sharing knowledge.
  3. Improve efficiency: Automate repetitive workflows such as generating Confluence pages from Google Docs.

Example Prompts

  • "Create a page about road cycling, focusing on Canyon bikes, in the personal confluence space of Helmut."

Setup

If you already have uv package manager and Claude Desktop installed on your Mac:

# Installs starbridge in an isolated Python environment
# Auto-injects configuration into Claude Desktop
uvx starbridge install

If you first need to install uv:

if ! command -v brew &> /dev/null; then # Install Homebrew
   /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
fi
brew install uv # Install uv via Homebrew
uvx starbridge install # Install starbridge via uv

If you want to install starbridge with the imaging extra

uvx --with "starbridge[imaging]" starbridge install

You can as well run Starbridge with Docker.

MCP Server

Starbridge implements the MCP Server interface, with Claude acting as an MCP client.

Resources

[TODO: Document resources exposed to Claude Desktop]

Prompts

[TODO: Document prompts exposed to Claude Desktop]

Tools

[TODO: Document tools exposed to Claude Desktop]

CLI

[TODO: Document CLI commands]

Operational Excellence

This project is designed with operational excellence in mind, using modern Python tooling and practices. It includes:

  1. Complete reference documentation of the CLI and of the library on Read the Docs
  2. Transparent test coverage including unit and E2E tests (reported on Codecov)
  3. Matrix tested with multiple python versions to ensure compatibility (powered by Nox)
  4. Compliant with modern linting and formatting standards (powered by Ruff)
  5. Up-to-date dependencies (monitored by Renovate and Dependabot)
  6. A-grade code quality in security, maintainability, and reliability with low technical debt and codesmell (verified by SonarQube)
  7. Additional code security checks using CodeQL
  8. Security Policy
  9. License compliant with the Open Source Initiative (OSI)
  10. 1-liner for installation and execution of command line interface (CLI) via uv(x) or Docker
  11. Setup for developing inside a devcontainer included (supports VSCode and GitHub Codespaces)

Further Reading

  • Inspect our security policy with detailed documentation of checks, tools and principles.
  • Check out the CLI Reference with detailed documentation of all CLI commands and options.
  • Check out the Library Reference with detailed documentation of public classes and functions.
  • Our release notes provide a complete log of recent improvements and changes.
  • In case you want to help us improve ⭐ Starbridge: The contribution guidelines explain how to setup your development environment and create pull requests.
  • We gratefully acknowledge the open source projects that this project builds upon. Thank you to all these wonderful contributors!

Star History

Star History Chart

starbridge FAQ

How do I install the Starbridge MCP server?
You can install Starbridge via PyPI using pip, following the instructions on its GitHub README and Read the Docs pages.
Does Starbridge support secure authentication with Google and Atlassian?
Yes, Starbridge uses OAuth and API token mechanisms to securely authenticate and authorize access to Google Workspace and Atlassian services.
Can Starbridge handle real-time updates from Google and Atlassian platforms?
Yes, it supports real-time context synchronization to keep Claude Desktop updated with the latest workspace data.
Is Starbridge compatible with multiple Claude Desktop versions?
Starbridge is designed to work with current and recent versions of Claude Desktop, ensuring smooth integration.
How does Starbridge ensure data privacy?
It scopes data access strictly to authorized contexts and logs interactions for observability, following MCP security principles.
Can Starbridge be extended to other productivity platforms?
While focused on Google and Atlassian, its modular design allows potential extension to other platforms with additional adapters.
Where can I find documentation for Starbridge?
Comprehensive documentation is available on Read the Docs and the GitHub repository's wiki section.
Does Starbridge support multiple LLM providers?
While optimized for Claude Desktop, Starbridge can be adapted to work with other LLM providers like OpenAI and Gemini through MCP clients.