# Wherobots

> Use this tool when you need to generate and run high-performance queries on large spatial datasets, solving problems related to location-based data analysis and processing. It accepts spatial data as input and produces query results as output, enabling efficient data analysis and insights. Ideal for use cases involving geospatial data analysis, mapping, and location-based services in cloud-based environments.

Canonical page: https://skillsregistry.net/skills/com-wherobots-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/com-wherobots-mcp-server

## Description

Generate and run high performance queries on open and private spatial data at-scale in the cloud

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.wherobots%2Fmcp-server)

## Use it

MCP endpoint published by the skill: `https://api.cloud.wherobots.com/mcp/`

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": "com-wherobots-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-wherobots-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-wherobots-mcp-server/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
