AWS-GeoPlaces-MCP-Server
About
MCP server to directly access AWS location services using the GeoPlaces API, provides direct geocoding or reverse-geocoding capabilities like Google Maps API
Details
- Author
- dxsim
- Downloads
- 245
- Categories
- Cloud Service
Jump to
- Geocoding via AWS GeoPlaces v2 API
- Reverse-geocoding support
- Direct access to AWS location services
- Compatible with MCP clients like Claude Desktop
- Python-based using MCP SDK and boto3
- Minimal AWS permissions example provided
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
AWS-GeoPlaces-MCP-ServerCommand (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
From the repository
First, install uv and create a Python 3.13 virtual environment. Install the MCP Python SDK, boto3, and python-dotenv. Run the server using mcp dev server.py or install it in Claude Desktop by editing claude_desktop_config.json with the full path to uv and your server script.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"aws-geoplaces-mcp-server": {
"AWS-GeoPlaces-MCP-Server": {
"command": "uv",
"args": [
"venv",
"--python",
"3.13"
]
}
}
}
}McpServers
{
"AWS-GeoPlaces-MCP-Server": {
"command": "uv",
"args": [
"venv",
"--python",
"3.13"
]
}
}AWS-GeoPlaces-MCP-Server
Directly access AWS location services using the GeoPlaces v2 API, provides geocoding or reverse-geocoding capabilities like the Google Maps API.Prerequisites
1. AWS Permissions needed to host MCP for Location Service, Refer to the example json file for the minimum viable permissions.Development
1. Install uv for Python project management:
MacOS / Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
2. Create a virtual environment
uv venv --python 3.13
3. Start the virtual environment
source .venv/bin/activate
NOTE: To stop the virtual environment:
deactivate
5. Install MCP Python SDK and AWS boto3 client:
uv add "mcp[cli]"
uv add "boto3"
uv add "python-dotenv"
Quickstart
1. Create your MCP using Python
2. Run your server in the MCP Inspector:
mcp dev server.py
3. Install the server in Claude Desktop:
mcp install <your_server_name.py>
4. Open
claude_desktop_config.js in an editor:From Claude:
1. Open Claude
2. Go to Settings
3. In the pop-up, select "Developer"
4. Click "Edit Config"
File location:
- MacOS / Linux ~/Library/Application/Support/Claude/claude_desktop_config.json
- Windows AppData\Claude\claude_desktop_config.json
5. Find the full path to uv:
MacOS / Linux:
which uv
Windows:
where uv
6. In
claude_desktop_config.js, set the command property to the full uv path for your MCP ServerExample:
"weather": {
"command": "/absolute/path/to/uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"/absolute/path/to/your/server.py"
]
},
7. Reboot Claude Desktop and use a prompt that will trigger your MCP.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
