What is mcp_starter_cli used for?
mcp_starter_cli is a CLI tool for scaffolding, running, and testing MCP servers locally with Node.js or Python, and supports API key injection and Claude Desktop integration.
@Sumedh1599
Basic information
CLI tool to scaffold, run, and test MCP servers locally with Node.js or Python, integrated with Claude and OpenAI key injection and auto-link to Claude Desktop.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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mcp_starter_cli is a command line interface tool for scaffolding, running, and testing MCP servers locally using Node.js or Python. It integrates with OpenAI and Claude API keys and supports automatic linking to Claude Desktop for local agent testing.
Install globally via npm install -g mcp_starter_cli or yarn global add mcp_starter_cli. Use mcp_starter_cli scaffold to create a new project, mcp_starter_cli run to start the server, mcp_starter_cli config set to inject API keys, and mcp_starter_cli logs to monitor server logs in real time.
mcp_starter_cli is a CLI tool for scaffolding, running, and testing MCP servers locally with Node.js or Python, and supports API key injection and Claude Desktop integration.
You need Node.js installed on your system. No other runtime is required by default, though using Python templates requires Python.
Install it globally using npm: `npm install -g mcp_starter_cli`, or with Yarn: `yarn global add mcp_starter_cli`.
Yes, use `mcp_starter_cli config set openai-key YOUR_KEY` for OpenAI or `mcp_starter_cli config set claude-key YOUR_KEY` for Claude.
Yes, you can scaffold a Python project with `mcp_starter_cli scaffold my-project --template python` and run it with `mcp_starter_cli run`.

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