MAAT MCP Restaurant Finder

@akaTEDDY

代码仓库

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其他

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stdio

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akaTEDDY

关于 MAAT MCP Restaurant Finder

暂无概览

#restaurant-finder#mcp#location-based-recommendation

MAAT MCP Restaurant Finder 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "maat_mcp_server": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

MAAT MCP Restaurant Finder 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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_restaurants and recommend_random_restaurant
Provides resource maat://restaurant_results and prompt 맛집 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

常见问题

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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