What is tmap_mcp?
The tmap_mcp project is a server built on the Tmap REST API that provides the Model Context Protocol (MCP) server functionality, allowing AI tools like Cursor Editor to directly call Tmap API features.
How to use tmap_mcp?
To use tmap_mcp, you need to set up the MCP server by installing the required packages and configuring your Tmap API key. You can then run the server and connect it with the Cursor Editor for enhanced functionality.
Key features of tmap_mcp?
- Location search (POI search, address search)
- Geocoding and reverse geocoding
- Pedestrian and car route guidance
- Real-time congestion information
- Time machine route guidance
- Public transport route guidance and summary
- Additional Tmap API functionalities
Use cases of tmap_mcp?
- Searching for points of interest (POIs) based on keywords.
- Providing real-time navigation for pedestrians and vehicles.
- Integrating with AI tools for enhanced location-based services.
FAQ from tmap_mcp?
- What are the system requirements for tmap_mcp?
You need Python 3.6 or higher and a Tmap API app key.
- How do I install the necessary packages?
Use the command
pip install pymcp requests
to install the required packages.
- Can I use tmap_mcp without the Cursor Editor?
Yes, but the full functionality is best utilized with the Cursor Editor.
What is tmap_mcp?
The tmap_mcp project is a server built on the Tmap REST API that provides the Model Context Protocol (MCP) server functionality, allowing AI tools like Cursor Editor to directly call Tmap API features.
How to use tmap_mcp?
To use tmap_mcp, you need to set up the MCP server by installing the required packages and configuring your Tmap API key. You can then run the server and connect it with the Cursor Editor for enhanced functionality.
Key features of tmap_mcp?
- Location search (POI search, address search)
- Geocoding and reverse geocoding
- Pedestrian and car route guidance
- Real-time congestion information
- Time machine route guidance
- Public transport route guidance and summary
- Additional Tmap API functionalities
Use cases of tmap_mcp?
- Searching for points of interest (POIs) based on keywords.
- Providing real-time navigation for pedestrians and vehicles.
- Integrating with AI tools for enhanced location-based services.
FAQ from tmap_mcp?
- What are the system requirements for tmap_mcp?
You need Python 3.6 or higher and a Tmap API app key.
- How do I install the necessary packages?
Use the command
pip install pymcp requests
to install the required packages.
- Can I use tmap_mcp without the Cursor Editor?
Yes, but the full functionality is best utilized with the Cursor Editor.