# mcp-tle

> mcp-tle — pipeworx-io-mcp-tle. Use this tool when you need to track and manage satellite orbital data using Two-Line Element (TLE) sets, providing a centralized server for storing and updating satellite tracking information. It solves problems related to organizing and accessing TLE data for satellite operations and research. The tool accepts TLE data as input and outputs updated tracking information, ideal for use cases involving satellite monitoring and analysis.

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

## Description

MCP server for satellite TLE tracking data

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-26

## Source

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

## 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-tle"
    }
  }
}
```

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