Waldzell MCP Servers
by waldzellai
This monorepo contains MCP (Model Context Protocol) servers for various AI assistant integrations. It leverages Turborepo for high-performance builds and Yarn Workspaces for package management.
Last updated: N/A
What is Waldzell MCP Servers?
This is a collection of MCP servers designed to enhance AI assistant integrations. It includes servers for Yelp Fusion API, Google TypeScript Style Guide, Stochastic Thinking, and a fork inspired by James Clear.
How to use Waldzell MCP Servers?
To use these servers, clone the repository, install dependencies using Yarn, and then build the desired package. Each server package has its own README with detailed documentation. Deployment to Smithery is also supported.
Key features of Waldzell MCP Servers
Integration with AI Assistants
Turborepo-powered build system
Yarn Workspaces for package management
Remote Caching
Changesets for versioning
Smithery deployment support
Use cases of Waldzell MCP Servers
Enhancing AI assistant capabilities with Yelp data
Enforcing Google TypeScript Style Guide in AI responses
Integrating stochastic thinking models into AI
Applying sequential thinking principles inspired by James Clear
Building custom AI integrations with specific data sources and logic
FAQ from Waldzell MCP Servers
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a way to provide context to AI models.
What is Turborepo?
What is Turborepo?
Turborepo is a high-performance build system for monorepos.
How do I deploy to Smithery?
How do I deploy to Smithery?
Use the yarn deploy or yarn smithery:<package-name> commands.
Where can I find documentation for each server?
Where can I find documentation for each server?
Each server package in the packages directory has its own README with detailed documentation.
How do I contribute?
How do I contribute?
Contributions are welcome! Please submit a pull request.