Nearby Search MCP
N

Nearby Search MCP

An MCP service for nearby location search based on IP positioning
2.5 points
9.3K

What is the Nearby Search MCP Server?

The Nearby Search MCP Server is a service tool that automatically detects your current location based on your IP address and searches for nearby locations according to keywords and optional categories.

How to use the Nearby Search MCP Server?

You just need to enter keywords and an optional search radius, and the server will return a list of relevant nearby locations.

Applicable Scenarios

Suitable for people who need to quickly find nearby facilities (such as restaurants and cafes), especially useful when traveling in an unfamiliar city.

Main Features

IP Location Detection
Automatically obtain your current geographical location based on your IP address.
Google Places Integration
Use the Google Places API to provide detailed location information.
Flexible Search Radius
Supports custom search ranges, with a default of 1500 meters.
Advantages
No need to manually enter coordinates, automatically detect the current location.
Rich Google Places database supports multi - category location search.
A simple and easy - to - use interface suitable for all types of users.
Supports multiple operating systems and devices.
Limitations
Requires a stable Internet connection to work properly.
Search speed may be affected by network latency.
Limited to location search within areas covered by the Google Places API.

How to Use

Install Dependencies
Ensure that Python 3.10 or higher is installed and install the required dependencies.
Configure Environment Variables
Set the Google API key as an environment variable.
Run the Server
Start the MCP server and test its functionality.

Usage Examples

Search for nearby coffee shops
Find coffee shops near your current location.
Search for nearby restaurants
Find restaurants near your current location, limiting the search radius to 2 kilometers.

Frequently Asked Questions

How to obtain a Google API key?
Does it support location search in multiple languages?
Are there any usage restrictions on the server?

Related Resources

Official Documentation
View the full documentation and examples of the project.
Google Places API
Understand the basic usage of the Google Places API.
GitHub Repository
Source code hosting address.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "nearby-search": {
      "command": "uv",
      "args": ["--directory", "path/to/nearby-search-mcp", "run", "main.py"],
      "env": {
        "GOOGLE_API_KEY": "your google api key"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
6.1K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.7K
4.5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
9.2K
4 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
9.2K
5 points
C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
16.6K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
17.0K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
15.0K
5 points
A
Annas MCP
The MCP server and CLI tool of Anna's Archive are used to search for and download documents on the platform and support access through an API key.
Go
13.0K
4.5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.4K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.3K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
48.6K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase