mcpField
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mcp_starter_cli

mcp_starter_cli

Local
github.com/Sumedh1599Developer Tools0Updated 78w ago

About mcp_starter_cli

mcp_starter_cli is a command-line tool for scaffolding, running, and testing local MCP servers with Node.js or Python. It combines key injection, live logs, and Claude Desktop linking for developers building and debugging servers.

Key features

  1. 01Scaffold Node.js and Python servers
  2. 02Run and test servers locally
  3. 03Inject OpenAI and Claude API keys
  4. 04View live logs and errors
  5. 05Link with Claude Desktop
  6. 06Lint JavaScript and transpile TypeScript

Use cases

  1. 01Create a starter MCP server project
  2. 02Debug a locally running server
  3. 03Test a server with Claude Desktop

MCP support

It scaffolds, runs, and tests local MCP servers. Claude Desktop can be linked for local agent testing.

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

mcp_starter_cli

Introduction

mcp_starter_cli is a powerful Command Line Interface (CLI) tool designed to simplify the process of scaffolding, running, and testing MCP servers locally using Node.js or Python. It integrates seamlessly with Claude and OpenAI API keys for enhanced functionality. Additionally, it supports auto-linking to Claude Desktop for local agent testing and includes features like live error display and support for auto-linting and TypeScript transpilation.

Features

  • CLI Interface: Easily scaffold, run, and deploy MCP servers.
  • API Key Injection: Dynamically inject OpenAI or Claude API keys as needed.
  • Server Logging & Error Display: Monitor server logs in real-time with live error display for quick debugging.
  • Claude Desktop Integration: Automatically link to Claude Desktop for local agent testing.
  • Auto-linting and TS Transpilation: Built-in support for linting JavaScript/TypeScript code and transpiling TypeScript.

Installation Instructions

Prerequisites

Ensure you have Node.js installed on your system. You can download it from nodejs.org.

Install mcp_starter_cli

You can install the CLI tool globally using npm:

npm install -g mcp_starter_cli

Alternatively, if you prefer to use Yarn:

yarn global add mcp_starter_cli

Usage Examples

Scaffold a New Project

To create a new MCP server project, run:

mcp_starter_cli scaffold my-mcp-project --template nodejs

or for Python projects:

mcp_starter_cli scaffold my-python-mcp-project --template python
Run the Server Locally

Navigate to your project directory and start the server:

cd my-mcp-project
mcp_starter_cli run

For Python:

cd my-python-mcp-project
mcp_starter_cli run
Inject API Keys

To inject OpenAI or Claude API keys, use:

mcp_starter_cli config set openai-key YOUR_OPENAI_API_KEY
mcp_starter_cli config set claude-key YOUR_CLAUDE_API_KEY
View Server Logs

Monitor the server logs in real-time with live error display:

mcp_starter_cli logs

API Documentation

For detailed API documentation and advanced usage, please refer to the API Docs.

License

mcp_starter_cli is open-source software licensed under the MIT License. For more details, see the LICENSE file.


Feel free to contribute to this project or report any issues via our GitHub repository. Happy coding! 🚀

GitHub Repository


This README provides a comprehensive overview of the `mcp_starter_cli` tool, including its features, installation instructions, usage examples, and licensing information. Make sure to replace placeholders like `your-repo` with your actual GitHub repository details.


## ⚠️ Development Status

This library is currently in early development. Some tests may be failing with the following issues:


Contributions to fix these issues are welcome! Please submit a pull request if you have a solution.

Comments

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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.