MAAT MCP Restaurant Finder
@akaTEDDY
About MAAT MCP Restaurant Finder
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"maat_mcp_server": {
"command": "python",
"args": [
"main.py"
]
}
}
}Tools
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MAAT MCP Restaurant Finder?
MAAT MCP Restaurant Finder is a remote MCP server that provides restaurant search and recommendation services. It searches for nearby restaurants based on user location, offers random restaurant recommendations, and supports category-based search (Korean, Chinese, Japanese, Western, etc.). It is built with Python 3.8+, FastMCP 0.4.1+, and uses Google Maps API and iplocation API.
How to use MAAT MCP Restaurant Finder?
Clone the repository, install dependencies from requirements.txt, set environment variables GOOGLE_MAPS_API_KEY and IPLOCATION_API_KEY in a .env file, then run python main.py. For Claude Desktop integration, configure with npx mcp-remote http://localhost:8000/sse and the GOOGLE_MAPS_API_KEY environment variable.
Key features of MAAT MCP Restaurant Finder
- Location-based restaurant search
- Random restaurant recommendation based on current location
- Category-based search (Korean, Chinese, Japanese, Western)
- Exposes tools
find_restaurantsandrecommend_random_restaurant - Provides resource
maat://restaurant_resultsand prompt맛집 검색 - Remote MCP server using SSE transport
Use cases of MAAT MCP Restaurant Finder
- Find nearby restaurants by location
- Get a random restaurant recommendation
- Search restaurants filtered by cuisine category
- Integrate restaurant discovery into AI assistant workflows
FAQ from MAAT MCP Restaurant Finder
What APIs does the server require?
It requires a Google Maps API key and an iplocation API key, set via GOOGLE_MAPS_API_KEY and IPLOCATION_API_KEY environment variables.
How do I run the server?
After installing dependencies and setting environment variables, run python main.py from the project root.
What tools and resources are available?
Tools: find_restaurants and recommend_random_restaurant. Resource: maat://restaurant_results. Prompt: 맛집 검색.
How do I configure it with Claude Desktop?
Add an entry in claude_desktop_config.json using the command npx mcp-remote with args ["http://localhost:8000/sse"] and environment variable GOOGLE_MAPS_API_KEY.
What are the runtime dependencies?
Python 3.8+, FastMCP 0.4.1+, and other packages listed in requirements.txt. The server uses Google Maps API and iplocation API.
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