MCP Text Tools Demo
by capybara-sfw
A simple MCP (Model Context Protocol) server example that provides text reversal functionality. It can be integrated with tools like Cursor.
Last updated: N/A
What is MCP Text Tools Demo?
This is a demo server implementing the Model Context Protocol (MCP). It provides a simple text reversal tool that can be accessed through different transport modes (stdio and SSE).
How to use MCP Text Tools Demo?
- Create and activate a conda environment. 2. Install dependencies using
pip install -r requirements.txt. 3. Run the server usingpython server.py(stdio mode) orpython server.py --transport sse --port 8000(SSE mode). 4. Configure the server in Cursor by adding a new MCP server with the appropriate type, name, and command/URL.
Key features of MCP Text Tools Demo
Text reversal functionality
Supports stdio and SSE transport modes
Easy integration with Cursor
Simple setup using conda
Clear instructions for configuration
Use cases of MCP Text Tools Demo
Reversing text for fun
Integrating text reversal functionality into Cursor workflows
Demonstrating MCP server implementation
Experimenting with different MCP transport modes
Learning about Cursor MCP integration
FAQ from MCP Text Tools Demo
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for communication between tools and models.
How do I choose between stdio and SSE mode?
How do I choose between stdio and SSE mode?
stdio mode is simpler to set up, while SSE mode might be more suitable for certain environments or performance requirements.
Why do I need to use conda run -n mcp-server-demo in the Cursor command?
Why do I need to use conda run -n mcp-server-demo in the Cursor command?
This ensures that the server is run within the correct conda environment, where the dependencies are installed.
Where can I find the server.py file?
Where can I find the server.py file?
The server.py file is located in the root directory of this repository. You need to replace /path/to/server.py with the actual path to the file.
What if I encounter an error during installation or configuration?
What if I encounter an error during installation or configuration?
Double-check that you have correctly followed the installation and configuration steps. Ensure that the conda environment is activated and that the server script path is correct. Consult the repository's issues or discussions for potential solutions.