What transport methods are supported?
The server examples support STDIO (local terminal) and SSE (Server-Sent Events) transport methods.
@theailanguage
Basic information
MCP server that can execute terminal commands
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
This repository provides four examples of setting up MCP (Model Context Protocol) servers using STDIO and SSE transport methods. It is designed for developers who want to learn how to configure MCP servers locally, with Docker, or on Google Cloud Platform. MCP allows AI models to store data, run tools, and use prompts for specific tasks.
Choose one of four setup options: local Python without Docker, local Docker, local Docker over SSE, or SSE on Google Cloud Platform. Each option links to a video tutorial. After starting the server, test it by sending prompts (e.g., Run the command ls in my workspace) to Claude.
The server examples support STDIO (local terminal) and SSE (Server-Sent Events) transport methods.
No. Option 1 runs locally with Python without Docker. Options 2, 3, and 4 use Docker.
Yes. Option 4 provides instructions for deploying the SSE server on Google Cloud Platform using Docker.
Send prompts to Claude, such as `Run the command ls in my workspace` or `Execute echo Hello from Claude`. The server will return the terminal output.
No. External contributions are not accepted to keep licensing simple. You may report issues or fork the repository.
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