# mcp_dl

> mcp_dl — danierli-mcp-dl. Use this tool when you need to analyze geographic data, such as clustering locations, calculating distances, or sorting directions. It solves problems related to spatial analysis and geospatial data processing, providing outputs in a standardized format via the SSE protocol. The mcp_dl tool takes in geographic data as input and returns clustered, calculated, or sorted results, making it ideal for use cases that require efficient geospatial data processing.

Canonical page: https://skillsregistry.net/skills/danierli-mcp-dl  
JSON: https://api.skillsregistry.net/v1/skills/danierli-mcp-dl

## Description

A geographic tool service that exposes clustering, distance calculation, and directional sorting as MCP tools via SSE protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q2ud81q9sb)
- **Repository:** <https://github.com/danierli/mcp_dl>

## 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": "danierli-mcp-dl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danierli-mcp-dl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danierli-mcp-dl/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