@waldzellai/mcp-servers
Waldzell AI's monorepo of MCP servers for model enhancement. Use in Claude Desktop, Cline, Roo Code, and more!
waldzellai
README
Waldzell MCP Servers
This is a Turborepo-powered monorepo containing MCP (Model Context Protocol) servers for various AI assistant integrations.
What's inside?
Packages
- server-yelp-fusionai - MCP server for Yelp Fusion API
- server-typestyle - Google TypeScript Style Guide MCP server
- server-stochasticthinking - Stochastic thinking MCP server
- server-clear-thought - Sequentialthinking fork inspired by James Clear
- common - Shared utilities and types
Utilities
This monorepo uses Turborepo with Yarn 4 Workspaces.
- Turborepo — High-performance build system for monorepos
- Yarn 4 — Modern package management with PnP support
- Changesets — Managing versioning and changelogs
- GitHub Actions — Automated workflows
- Smithery — Deployment platform for MCP servers
Getting Started
Prerequisites
- Node.js 18 or higher
- Corepack enabled (
corepack enable
)
Installation
Clone the repository and install dependencies:
git clone https://github.com/waldzellai/mcp-servers.git
cd mcp-servers
yarn install
Development
To develop all packages:
yarn dev
Building
To build all packages:
yarn build
The build output will be in each package's dist/
directory.
Testing
yarn test
Linting
yarn lint
Deploying to Smithery
This repo is set up to easily deploy packages to Smithery:
# Deploy all packages
yarn deploy
# Deploy specific packages
yarn smithery:yelp-fusion
yarn smithery:typestyle
yarn smithery:stochastic
yarn smithery:clear-thought
Workflow
Adding a new feature
- Create a new branch
- Make your changes
- Add a changeset (documents what's changed for version bumping):
yarn changeset
- Push your changes
Releasing new versions
We use Changesets to manage versions. Create a PR with your changes and Changesets will create a release PR that you can merge to release new versions.
For manual releases:
yarn publish-packages
Adding a New Package
- Create a new directory in the
packages
directory - Initialize the package with
yarn init
- Add your source code
- Update
turbo.json
pipeline if needed - Add a
smithery.yaml
file if you want to deploy to Smithery - Run
yarn install
at the root to update workspaces
Turborepo
Remote Caching
Turborepo can use a remote cache to share build artifacts across machines. To enable Remote Caching:
yarn dlx turbo login
yarn dlx turbo link
MCP Server Documentation
Each MCP server package in this monorepo has its own README with detailed documentation:
License
All packages in this monorepo are licensed under the MIT License - see each package's LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a pull request.
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