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vlad-ds

Street View MCP

by vlad-ds
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
get_street_viewA

Fetch a Street View image based on location, coordinates, or panorama ID and save to file.

Args: filename: Required filename to save the image (must not already exist in output directory) location: The address to get Street View image for (e.g., "Empire State Building, NY") lat_lng: Comma-separated latitude and longitude (e.g., "40.748817,-73.985428") pano_id: Specific panorama ID to fetch size: Image dimensions as "widthxheight" (e.g., "600x400") heading: Camera heading in degrees (0-360) pitch: Camera pitch in degrees (-90 to 90) fov: Field of view in degrees (zoom level, 10-120) radius: Search radius in meters when using location or coordinates source: Limit Street View searches to selected sources ("default" or "outdoor")

Returns: Image: The Street View image

Raises: ValueError: If filename already exists in output directory

get_metadataB

Fetch metadata about a Street View panorama.

Args: location: The address to check for Street View imagery lat_lng: Comma-separated latitude and longitude (e.g., "40.748817,-73.985428") pano_id: Specific panorama ID to fetch metadata for radius: Search radius in meters when using location or coordinates source: Limit Street View searches to selected sources ("default" or "outdoor")

Returns: Dict: Panorama metadata including status, copyright, date, pano_id, lat, lng

open_image_locallyB

Open a saved Street View image in the default application.

Args: filename: The filename of the image to open (must exist in output directory)

Returns: Dict: A status message indicating success or failure

Raises: ValueError: If the file doesn't exist in the output directory

create_html_pageA

Create an HTML page specifically for displaying Street View images with descriptive text.

This tool is designed to compile multiple Street View images into a single viewable HTML document, creating a virtual tour or location showcase. The function automatically wraps your content in a complete HTML document with:

  • DOCTYPE declaration

  • HTML, head, and body tags

  • Basic responsive styling optimized for displaying images

  • Title from the parameter

Args: html_elements: List of content HTML elements (just the body content, no need for HTML structure) filename: Name of the HTML file to create (without directory path) title: Title for the HTML page

Returns: Dict: A status message indicating success or failure

Raises: ValueError: If the filename already exists or is invalid

Note: - You only need to provide the CONTENT elements (no need for html, head, body tags) - IMPORTANT: When including Street View images, you MUST use the path "../output/": <img src="../output/empire.jpg" alt="Empire State Building"> - The "../" prefix is REQUIRED because HTML files are in html/ directory while images are in output/ directory (both at the same level)

Example usage: ``` # Create a virtual Street View tour with multiple locations html_elements = [ "New York City Landmarks Tour", "Explore famous landmarks through Street View images.",

    "<h2>Empire State Building</h2>",
    "<img src='../output/empire.jpg' alt='Empire State Building'>",
    "<p class='location'>350 Fifth Avenue, New York, NY</p>",
    "<p class='description'>This 102-story Art Deco skyscraper in Midtown Manhattan was completed in 1931.</p>",
    
    "<h2>Times Square</h2>",
    "<img src='../output/timessquare.jpg' alt='Times Square'>",
    "<p class='location'>Broadway & 7th Avenue, New York, NY</p>", 
    "<p class='description'>Famous for its bright lights, Broadway theaters, and as the site of the annual New Year's Eve ball drop.</p>"
]
```

HTML Boilerplate (automatically added): <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>{title}</title> <style> body { font-family: Arial, sans-serif; line-height: 1.6; max-width: 800px; margin: 0 auto; padding: 20px; color: #333; } img { max-width: 100%; height: auto; border-radius: 5px; margin: 20px 0; } h1, h2, h3 { color: #2c3e50; } </style> </head> <body> <!-- Your content elements are inserted here --> </body> </html>

Prompts

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Resources

Contextual data attached and managed by the client

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