Mcp Tmap
@yunkee-lee
关于 Mcp Tmap
The MCP connects to TMAP API
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-tmap": {
"command": "uv",
"args": [
"run",
"src/mcp_tmap"
],
"env": {
"SK_OPEN_API_APP_KEY": "YOUR_APP_KEY_HERE"
}
}
}
}工具
未检测到工具
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 Mcp Tmap?
Mcp Tmap is an MCP server that connects to the SK TMAP API, providing access to the Public Transit API for transit route information and the Location API for full-text geocoding. It is intended for developers using MCP-compatible clients who need to integrate TMAP transit and location services.
How to use Mcp Tmap?
Ensure Python 3.13+ and uv are installed, and obtain SK Open API credentials. Create a .env file in the project root with SK_OPEN_API_APP_KEY="YOUR_APP_KEY_HERE". Run uv sync to install dependencies, then uv run src/mcp_tmap to start the server. For development, activate the virtual environment and use mcp dev src/mcp_tmap/server.py.
Key features of Mcp Tmap
- Connects MCP to TMAP Public Transit and Location APIs
- Provides transit route planning and full-text geocoding
- Requires SK Open API app key for authentication
- Configured via
.envfile withSK_OPEN_API_APP_KEY - Runs using
uv syncanduv runcommands - Built for Python 3.13 and above
Use cases of Mcp Tmap
- Retrieve public transit routes between two locations using TMAP data
- Convert place names or addresses to geographic coordinates via full-text geocoding
- Integrate TMAP transit and location services into AI assistants or automation tools
FAQ from Mcp Tmap
What API does Mcp Tmap connect to?
It connects to the SK TMAP API, specifically the Public Transit API (transit route) and Location API (full-text geocoding).
What are the prerequisites to run Mcp Tmap?
You need Python 3.13 or higher, the uv package manager installed, and SK Open API credentials (app key).
How do I configure Mcp Tmap?
Create a .env file in the project root and add your SK Open API app key as SK_OPEN_API_APP_KEY="YOUR_APP_KEY_HERE".
How do I run Mcp Tmap?
Navigate to the project root, run uv sync to install dependencies, then run uv run src/mcp_tmap. For development, activate the virtual environment and use mcp dev src/mcp_tmap/server.py.
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