Waldzell
Provides Model Context Protocol (MCP) servers for integrating AI assistants with various applications.
概要
Waldzell is a monorepo containing MCP servers designed to enhance AI assistant integrations across different platforms. Powered by Turborepo, it offers a suite of server packages tailored for specific functionalities, such as Yelp Fusion API integration, Google TypeScript Style Guide enforcement, stochastic thinking implementation, and sequential thinking inspired by James Clear. It leverages modern tools like Yarn 4 Workspaces, Changesets, and GitHub Actions to facilitate development, versioning, and deployment. Designed for seamless integration with Waldzell AI's ecosystem, it streamlines the process of building and deploying MCP servers for diverse applications.
主な機能
- 52 GitHub stars
- Utilizes Turborepo for high-performance monorepo management.
- Includes pre-built MCP servers for Yelp Fusion API, TypeScript Style Guide, and stochastic/sequential thinking.
- Leverages Yarn 4 Workspaces for dependency management.
- Integrates with Changesets for versioning and changelog management.
- Supports deployment to Smithery deployment platform.
ユースケース
- Integrating AI assistants with Yelp Fusion API for location-based services.
- Enforcing Google TypeScript Style Guide in AI assistant development.
- Implementing stochastic thinking models in AI assistants.
- Adding sequential thinking capabilities to AI assistants.
