The MCP server for Cat Facts provides a command-line interface for serving cat facts via the Model Context Protocol. This lightweight server can be easily installed and operated using npm.
Install the MCP server globally using npm:
npm install -g cat-facts-mcp
This will make the mcp
command available from any directory in your terminal.
After installation, you can run the MCP server using the basic command:
mcp
This will start the server with default settings.
The MCP command supports several flags for customization:
mcp [-h] [-v]
-h, --help
: Display help information about the command-v, --verbose
: Run with verbose logging for debuggingFor more detailed output during operation, use the verbose flag:
mcp --verbose
To verify which version of the MCP server is installed:
mcp --version
This will display version information similar to:
cat-facts-mcp/0.0.0 darwin-arm64 node-v22.13.0
For additional information about available commands and options:
mcp --help
This displays the complete usage guide with all available options.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.