mcpField
W
Waldzell MCP Servers

Waldzell MCP Servers

Local
github.com/waldzellaiAI & Agents199Updated 16w ago

About Waldzell MCP Servers

Waldzell MCP Servers is a monorepo from Waldzell AI containing several independent MCP servers, each in its own folder under servers/. The repository avoids a complex monorepo toolchain and keeps each server usable on its own.

Key features

  1. 01Four independent MCP servers in one repository
  2. 02Each server usable separately
  3. 03Builds and tests through npm workspaces
  4. 04Released under the MIT License

Use cases

  1. 01Referencing TypeScript style guidance in projects
  2. 02Using sequential thinking tools for structured reasoning
  3. 03Adding a single MCP server to a client setup

MCP support

Each server in the repository is an MCP server that exposes its own tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Waldzell MCP Servers

This repository contains a set of Model Context Protocol (MCP) servers. Each server lives in its own folder under servers/ and can be used independently. The project is intentionally lightweight and does not make use of a complex monorepo toolchain.

Available servers

Getting started

Prerequisites
  • Node.js 18 or higher
  • npm (comes with Node.js)

Install dependencies for all servers:

npm install

Build every server:

npm run build --workspaces

Run tests for all servers:

npm test --workspaces

Refer to each server's README for usage instructions and additional scripts.

Publishing

To publish the packages defined in this repository:

npm run build --workspaces && changeset publish

License

All code in this repository is licensed under the MIT License.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.