# DefenseOps Aerospace MCP Platform

> DefenseOps Aerospace MCP Platform — jdbruh18-defenseops-aerospace-mcp-platform. Use this tool when you need to monitor and manage aerospace fleet operations, troubleshoot issues, or respond to critical alerts. It provides real-time telemetry monitoring, maintenance queries, and tactical alert dispatching, solving problems related to fleet performance, safety, and mission planning. Ideal for defense and aerospace applications, it accepts inputs such as fleet identifiers and mission parameters, and outputs include alerts, maintenance schedules, and mission logs.

Canonical page: https://skillsregistry.net/skills/jdbruh18-defenseops-aerospace-mcp-platform  
JSON: https://api.skillsregistry.net/v1/skills/jdbruh18-defenseops-aerospace-mcp-platform

## Description

Provides aerospace fleet telemetry monitoring, Mil-Spec RAG search, fleet maintenance queries, sandboxed mission log exports, and tactical alert dispatching.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qvicsdla05)
- **Repository:** <https://github.com/jdbruh18/defenseops-aerospace-mcp-platform>

## 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": "jdbruh18-defenseops-aerospace-mcp-platform"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jdbruh18-defenseops-aerospace-mcp-platform` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jdbruh18-defenseops-aerospace-mcp-platform/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
