Gets information about the current travel avatar's location, optionally including photos and nearby facilities
Gets information about the current travel avatar's address and nearby facilities
Reach a specified percentage of the destination (moveMode=skip only)
Sets the current travel avatar's location
Get the destination of the travel avatar you set
Set the destination of the travel avatar
Map Traveler creates an immersive virtual travel experience by allowing users to control an AI avatar that navigates through Google Maps. Users can set destinations, explore locations, and receive visual feedback with Street View photos enhanced with AI-generated avatar imagery. The MCP provides detailed information about the avatar's surroundings, nearby facilities, and travel progress, creating a unique way to explore the world virtually.
Map Traveler is a Model Context Protocol (MCP) server that enables virtual travel experiences through Google Maps. With this tool, you can instruct an AI avatar to travel to different locations, explore surroundings, and document the journey with enhanced photos.
To use Map Traveler, you'll need to add it to your MCP client configuration. The repository doesn't provide specific installation instructions, but based on the structure, you would typically:
git clone https://github.com/mfukushim/map-traveler-mcp.git
cd map-traveler-mcp
pnpm install
"mcpServers": {
"map-traveler": {
"command": "pnpm",
"args": ["start"]
}
}
The Map Traveler MCP appears to support various configuration options, including:
Once connected, you can interact with your virtual traveler using natural language commands. Here are some example interactions:
Setting a destination:
Checking current location:
Exploring surroundings:
Controlling travel progress:
The MCP will respond with location information, nearby points of interest, and visual representations of the journey. If image generation is configured, it will show your avatar in the Street View scenes.
The Map Traveler MCP creates an engaging way to explore the world virtually through an AI assistant interface, making it ideal for travel planning, education, or virtual tourism experiences.