Time Conversion Assistant

by shridharMe

280 downloads

Not rated

GitHub

About

A Streamlit-based web application that helps users with time-related queries and conversions using Amazon Bedrock. It is designed for users who need quick time conversions via a web interface.

Details

Author: shridharMe
Downloads: 280
Categories: AI

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Time Conversion Assistant

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

From the repository

After installing prerequisites (Python 3.8+, Podman, AWS credentials), create and activate a virtual environment, install dependencies with pip install -r requirements.txt, then run streamlit run ui.py. The application opens at http://localhost:8501.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "time conversion assistant": {
            "mcp-server-with-amazon-bedrock-agent": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-server-with-amazon-bedrock-agent": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            "venv"
        ]
    }
}

Time Conversion Assistant

A Streamlit-based web application that helps users with time-related queries and conversions using Amazon Bedrock.

Prerequisites

- Python 3.8 or higher
- Podman installed and configured
- Access to Amazon Bedrock
- Valid AWS credentials configured

Installation

1. Create and activate a virtual environment:

```bash

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Time Conversion Assistant

Prerequisites

Installation

Install

More like this

Context 7

1Panel

🔎 GPT Researcher

Serena

FastMCP v2 🚀

MaxKB