What transport modes does this server support?
It supports stdio (default) and SSE with a configurable port (e.g., `--port 8000`).
@capybara-sfw
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-demo-capybara-sfw": {
"command": "python",
"args": [
"server.py"
]
}
}
}Tool 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.
MCP Text Tools Demo is a simple Model Context Protocol (MCP) server example that provides a text reversal function. It is designed to be integrated with tools like Cursor for basic text manipulation.
Install using conda (Python 3.10) and pip. Run with python server.py for stdio mode (default) or python server.py --transport sse --port 8000 for SSE mode. Then configure it in Cursor's MCP settings using the appropriate type (stdio or sse) and command/URL.
reverse_text for reversing stringsIt supports stdio (default) and SSE with a configurable port (e.g., `--port 8000`).
In Cursor, go to Features > MCP, click "+ Add New MCP Server", and choose Type: stdio (with a conda-run command) or Type: sse (with URL `http://localhost:8000/sse`).
The only tool is `reverse_text`, which accepts a string parameter `text` and returns its reversed version.
It requires Python 3.10, a conda environment named `mcp-server-demo`, and dependencies listed in `requirements.txt`.
Ensure the conda environment is activated before running the server, and replace `/path/to/server.py` with the actual path when configuring Cursor.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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