✈️ DefenseOps: Aerospace Fleet Telemetry & Defense Intelligence MCP Platform

A flagship, production-grade Model Context Protocol (MCP) platform tailored for Aerospace and Defense Applications. Combines real-time aircraft telemetry monitoring, STANAG / Mil-Spec technical manual RAG search, read-only fleet maintenance databases, sandboxed mission log archives, and command alert dispatching.

📽️ System Architecture

flowchart TD
    subgraph Client ["Tactical Operations / LLM Host"]
        A[Claude Desktop / Cursor / Defense Agent Host]
    end

    subgraph MCP ["DefenseOps Master MCP Platform"]
        B[Stdio Server Transport]
        C[FastMCP Tool Dispatcher]
        D[Aerospace Telemetry Engine]
        E[Mil-Spec RAG Retriever]
        F[Fleet Logistics DB Engine]
        G[Mission Log Guard]
    end

    subgraph Infrastructure ["Defense Infrastructure"]
        H[Live Flight Telemetry & Open-Meteo Weather]
        I[F-35 Manuals & STANAG 4586 Checklists]
        J[(SQLite/PostgreSQL Maintenance DB)]
        K[Sandboxed Mission Logs Storage]
    end

    A <-->|JSON-RPC via Stdio| B
    B --> C
    C -->|get_aircraft_telemetry| D
    C -->|search_flight_manuals| E
    C -->|inspect_fleet_logistics| F
    C -->|export_mission_debrief| G
    D --> H
    E --> I
    F --> J
    G --> K

Related MCP server: EMS MCP Server

💡 Real-World Use Case

In aerospace flight operations and defense command centers, pilots, flight engineers, and mission commanders require instantaneous, unified access to multi-modal intelligence:

• Live Telemetry & Weather: Monitoring aircraft altitude, ground speed, engine thermal stress, and drop-zone weather.

• Emergency Procedures (RAG): Instant vector search over STANAG datalink protocols and F-35 emergency restart manuals during inflight anomalies.

• Fleet Maintenance Logistics: Querying flight hours, component wear, and maintenance logs without risking database overwrites.

• Mission Debrief Sandboxing: Exporting immutable mission logs with strict path traversal security (../ protection) and automatic .bak backups.

🧰 Available MCP Tools

This server exposes 5 unified defense tools over standard I/O (stdio) transport:

1. get_aircraft_telemetry

Fetches live flight telemetry (altitude, speed, lat/lon, engine temp, fuel %) and drop-zone weather for aircraft (e.g. AF-301, UAV-702, NAV-104).

2. search_flight_manuals

Performs RAG semantic vector search over F-35 flight manuals, UAV emergency link-loss checklists, and STANAG 4586 protocols.

• Parameters:

  • query (string, required): Emergency query (e.g. "flameout restart", "link loss RTH").

3. inspect_fleet_logistics

Executes read-only SQL queries on aircraft fleet databases, component wear, and maintenance logs.

• Parameters:

  • sql_query (string, required): Read-only SELECT query.

4. export_mission_debrief

Safely exports a mission debrief log inside sandboxed storage with path traversal guards and automatic backups.

• Parameters:

  • filename (string, required): Log filename.

  • report_content (string, required): Markdown debrief report text.

5. dispatch_tactical_alert

Dispatches an urgent alert to air command channels (#air-command, #incidents).

📦 Installation & Quickstart

Prerequisites

• Python 3.10 or higher

• Git

Step-by-Step Setup

# 1. Clone the repository
git clone https://github.com/your-username/defenseops-aerospace-mcp-platform.git
cd defenseops-aerospace-mcp-platform

# 2. Create and activate virtual environment
python -m venv venv

# On Windows (PowerShell):
.\venv\Scripts\activate

# On Linux / macOS:
source venv/bin/activate

# 3. Install package & dependencies
pip install -e .

⚙️ Configuration (Claude Desktop / Cursor)

Claude Desktop Integration

Add to your claude_desktop_config.json:

• Windows: %APPDATA%\Claude\claude_desktop_config.json

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "defenseops-platform": {
      "command": "D:/Projects/defenseops-aerospace-mcp-platform/venv/Scripts/python.exe",
      "args": [
        "-m",
        "defenseops_mcp.server"
      ]
    }
  }
}

🧪 Testing & Verification

Run the unified test suite:

python -m pytest -o pythonpath=src

Expected Output

============================= test session starts =============================
platform win32 -- Python 3.11.1, pytest-9.1.1, pluggy-1.6.0
collected 4 items

tests\test_defenseops.py ....                                            [100%]

============================== 4 passed in 0.32s ==============================

🤖 Example Defense Intelligence Prompts to Try with Your LLM

1. Telemetry & Weather Inspection:

   "Get real-time flight telemetry for aircraft AF-301 and check ambient drop-zone weather conditions."

2. Emergency Procedure RAG Search:

   "Perform a semantic search in the flight manuals for 'engine restart flameout procedure' and list the step-by-step checklist."

3. Fleet Maintenance DB Analysis:

   "Query the maintenance logs database to list all unresolved issues across the UAV and F-35 fleet."

4. Export Sandboxed Debrief Log:

   "Generate a mission debrief log for flight AF-301 and safely export it to debrief_flight_301.md."

📄 License

Distributed under the MIT License. See LICENSE for details.