NearbySearch MCP Server
@kukapay
About NearbySearch MCP Server
An MCP server for nearby place searches with IP-based location detection.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"nearby-search-mcp": {
"command": "python",
"args": [
"main.py"
]
}
}
}Tools
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Overview
What is NearbySearch MCP Server?
NearbySearch MCP Server is an MCP server that enables nearby place searches by combining IP-based location detection (via ipapi.co) with Google Places API. It serves users who need quick, location-aware search capabilities within MCP environments like Claude Desktop.
How to use NearbySearch MCP Server?
Clone the repository, install dependencies (mcp, httpx, python-dotenv) using uv or pip, and configure your client with a GOOGLE_API_KEY environment variable. Run the server in development mode with mcp dev main.py, install it in Claude Desktop with mcp install main.py --name "NearbySearch", or execute directly with python main.py. The sole tool endpoint, search_nearby, accepts a keyword string, an optional radius in meters (default 1500), and an optional place type such as "restaurant" or "cafe".
Key features of NearbySearch MCP Server
- IP-based location detection using ipapi.co
- Google Places integration for nearby searches
- Single tool endpoint with customizable radius
- Optional type filter for place categories
- Configurable search radius (default 1500 meters)
Use cases of NearbySearch MCP Server
- Finding coffee shops near your current location
- Searching for restaurants within a specified radius
- Locating nearby cafes, parks, or other place types
- Integrating location-aware search into MCP-enabled applications
FAQ from NearbySearch MCP Server
What are the requirements to run NearbySearch MCP Server?
Python 3.10 or higher, a Google Cloud Platform API key with Places API enabled, and an internet connection.
How do I install NearbySearch MCP Server?
Clone the repository, install dependencies (using uv or pip: mcp, httpx, python-dotenv), then configure your client with the GOOGLE_API_KEY environment variable.
How do I run NearbySearch MCP Server?
You can run it in development mode with mcp dev main.py, install it in Claude Desktop with mcp install main.py --name "NearbySearch", or execute directly with python main.py.
What parameters does the search_nearby tool accept?
Keyword (required string), radius (optional integer in meters, default 1500), and type (optional string, e.g., "restaurant" or "cafe").
Frequently asked questions
What are the requirements to run NearbySearch MCP Server?
Python 3.10 or higher, a Google Cloud Platform API key with Places API enabled, and an internet connection.
How do I install NearbySearch MCP Server?
Clone the repository, install dependencies (using uv or pip: mcp, httpx, python-dotenv), then configure your client with the GOOGLE_API_KEY environment variable.
How do I run NearbySearch MCP Server?
You can run it in development mode with `mcp dev main.py`, install it in Claude Desktop with `mcp install main.py --name "NearbySearch"`, or execute directly with `python main.py`.
What parameters does the search_nearby tool accept?
Keyword (required string), radius (optional integer in meters, default 1500), and type (optional string, e.g., "restaurant" or "cafe").
Basic information
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