Time Conversion Assistant

by shridharMe

280 downloads Not rated yet
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.

Explore

- Streamlit web interface for time queries
- Powered by Amazon Bedrock AI
- Handles time conversions and related questions

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:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. 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.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

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

python -m venv venv

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"
        ]
    }
}

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

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