# Street View

> Use this tool when you need to fetch and display street imagery for virtual exploration, location scouting, or geographic visualization. It provides a bridge to Google Street View API, allowing AI models to retrieve images by address, coordinates, or panorama ID with customizable parameters. Ideal for use cases like real estate visualization and interactive tours, it handles API authentication and image processing, offering both command-line and FastMCP server interfaces.

Canonical page: https://skillsregistry.net/skills/vlad-ds-street-view  
JSON: https://api.skillsregistry.net/v1/skills/vlad-ds-street-view

## Description

Street View MCP Server provides a bridge to Google Street View API, enabling AI models to fetch and display street imagery by address, coordinates, or panorama ID. Developed by vlad-ds, it offers tools for retrieving images with customizable parameters (heading, pitch, FOV), saving them locally, and creating HTML-based virtual tours that combine multiple views with descriptive text. The implementation handles API authentication, image processing with Pillow, and includes both a command-line interface and a FastMCP server. This integration is particularly valuable for virtual exploration, location scouting, real estate visualization, and creating interactive geographic tours without requiring users to understand the underlying API details.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vlad-ds-street-view)
- **Repository:** <https://github.com/vlad-ds/street-view-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vlad-ds-street-view"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vlad-ds-street-view` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vlad-ds-street-view/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt