MCP Server Demonstration

This repository demonstrates how to set up and use MCP (Model Context Protocol) servers within Cursor. MCP allows you to define custom tools that the AI assistant can use to perform actions, such as fetching data from an API or running a local script.

The MCP servers are configured in the.cursor/mcp.jsonfile. This file contains a JSON object that defines one or more servers.

{ "mcpServers": { "docker-server_2": { "command": "docker", "args": [ "run", "-i", "--rm", "--name", "mcp-weather-server", "mcp-weather-server:latest" ], "env": { "DEBUG": "mcp:" } }, "time-server_2": { "command": "docker", "args": [ "run", "-i", "--rm", "mcp/time" ], "env": { "DEBUG": "mcp:" } } } }

- docker-server_2: This server runs a Docker container namedmcp-weather-serverfrom themcp-weather-server:latestimage. It's used to get weather information.
- time-server_2: This server runs a Docker container from themcp/timeimage. It's used to get the current time in a specific timezone.

You can interact with these servers by asking the Cursor assistant questions that would trigger the tools defined by these servers.

User:what time is it in Boston?Assistant Tool Call:mcp_time-server_2_get_current_time({timezone: "America/New_York"})

User:what's the temperature in Boston?Assistant:I can get the temperature for you. Do you want it in Celsius or Fahrenheit?User:FAssistant Tool Call:mcp_docker-server_2_get_weather_2({city: "Boston", units: "fahrenheit"})

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