Waldzell MCP Servers
by waldzellai
This is a Turborepo-powered monorepo containing MCP (Model Context Protocol) servers for various AI assistant integrations. It provides a collection of servers designed to enhance AI assistant capabilities.
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What is Waldzell MCP Servers?
A collection of MCP (Model Context Protocol) servers designed to integrate with various AI assistants. Each server provides specific functionalities, such as accessing Yelp Fusion API, adhering to Google TypeScript Style Guide, or implementing stochastic thinking.
How to use Waldzell MCP Servers?
Each MCP server package has its own README with detailed documentation. Generally, you need to clone the repository, install dependencies using Yarn, and then run the specific server. Deployment to Smithery is also supported.
Key features of Waldzell MCP Servers
Integration with AI assistants
Modular design with separate server packages
Utilizes Turborepo for efficient monorepo management
Supports deployment to Smithery
Uses Yarn 4 Workspaces
Use cases of Waldzell MCP Servers
Enhancing AI assistant with Yelp Fusion API data
Enforcing Google TypeScript Style Guide in AI responses
Implementing stochastic thinking in AI models
Providing clear and sequential thinking capabilities to AI
Rapid deployment of AI integrations using Smithery
FAQ from Waldzell MCP Servers
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for AI models to access external data and services.
What is Turborepo?
What is Turborepo?
Turborepo is a high-performance build system for JavaScript and TypeScript monorepos.
How do I deploy to Smithery?
How do I deploy to Smithery?
Each package includes a smithery.yaml file to enable easy deployment to Smithery. Use the yarn deploy or yarn smithery:* commands.
Where can I find documentation for each server?
Where can I find documentation for each server?
Each server package in the monorepo has its own README with detailed documentation.
How do I contribute to this project?
How do I contribute to this project?
Contributions are welcome! Please feel free to submit a pull request.