# mcp-kartaview

> mcp-kartaview — pipeworx-io-mcp-kartaview. Use this tool when you need to access open, crowdsourced street-level imagery for mapping and location-based applications. It solves problems related to lack of street-level data, providing a comprehensive view of environments. The tool accepts git inputs and outputs street-level imagery, ideal for use cases such as urban planning, navigation, and geographic information systems.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-kartaview  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-kartaview

## Description

KartaView — open, crowdsourced street-level imagery.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-kartaview)

## 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": "pipeworx-io-mcp-kartaview"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-kartaview` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-kartaview/pull`

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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