dronelytics-mcp
MCP server for US drone airspace intelligence and mission planning — 24 tools for airspace queries, mission generation, Part 107 compliance, and flight plan export
Install / Use
claude mcp add markpdxt -- npx -y github:markpdxt/dronelytics-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
LegalSupported Platforms
Tags
Our assessment of dronelytics-mcp
dronelytics-mcp scores 72/100 on our quality scale, 194th of 213 Legal skills we index.
Its MCP Server is 4.8 KB long, well organised into 14 sections with 3 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 6 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-20 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 86/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
dronelytics-mcp compared with similar skills
All 4 of these similar skills score higher than dronelytics-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| dronelytics-mcp (this skill)by markpdxt | 72 | 3 | 6mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 101.1k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.6k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.5k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 89.3k | today | MCP Server |
Frequently asked questions
- How do I install dronelytics-mcp?
- Run
claude mcp add markpdxt -- npx -y github:markpdxt/dronelytics-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does dronelytics-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is dronelytics-mcp safe to use?
- It is MIT-licensed and scores 86/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is dronelytics-mcp still maintained?
- The repository was last updated about 6 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHub@dronelytics/mcp
MCP (Model Context Protocol) server for the Dronelytics drone mission planning platform. Enables AI assistants to query US drone airspace, plan missions, manage drone profiles, and export flight plans.
The first drone platform built for AI agents. Learn more | Read why we built this
Setup
1. Generate an API key
Go to Settings > API Keys in hub.dronelytics.io and create a new key.
2. Configure your MCP client
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"dronelytics": {
"command": "npx",
"args": ["-y", "@dronelytics/mcp"],
"env": {
"DRONELYTICS_API_KEY": "dk_y…[redacted]"
}
}
}
}
Claude Code (.mcp.json in your project or ~/.claude/.mcp.json globally):
{
"mcpServers": {
"dronelytics": {
"command": "npx",
"args": ["-y", "@dronelytics/mcp"],
"env": {
"DRONELYTICS_API_KEY": "dk_y…[redacted]"
}
}
}
}
Cursor / Windsurf — same npx config in your MCP settings.
Environment Variables
| Variable | Required | Default | Description |
|----------|----------|---------|-------------|
| DRONELYTICS_API_KEY | Yes | — | Your API key (starts with dk_) |
| DRONELYTICS_API_URL | No | https://hub.dronelytics.io/api/v1 | API base URL (override for local dev) |
Tools (24)
Airspace Intelligence
| Tool | Description |
|------|-------------|
| check_airspace | Query 11 FAA airspace layers at a lat/lng — returns flyability assessment |
| get_active_tfrs | List active TFRs near a location |
| get_notams | Get active NOTAMs near a location |
| check_live_traffic | Live ADS-B aircraft traffic near a location |
| validate_flight | Part 107 compliance check for location, altitude, and time |
| preflight_briefing | GO/CAUTION/NO-GO briefing for a saved mission |
Mission Management
| Tool | Description |
|------|-------------|
| list_missions | List all user missions |
| get_mission | Get full mission with waypoints |
| create_mission | Create a new mission |
| update_mission | Update an existing mission |
| delete_mission | Delete a mission |
| duplicate_mission | Clone a mission |
| share_mission | Generate a public share link |
| export_mission | Export to KML, GPX, QGC, Litchi CSV, or WPML |
| import_litchi | Import a Litchi CSV file |
Mission Generation
| Tool | Description |
|------|-------------|
| list_cameras | List camera presets for survey planning |
| generate_grid_survey | Generate grid/mapping survey from polygon |
| generate_orbit_mission | Generate orbit around a point of interest |
| generate_panorama_mission | Generate panorama capture grid |
| generate_spiral_mission | Generate spiral survey |
| generate_corridor_mission | Generate corridor mapping along a path |
Drone Profiles
| Tool | Description |
|------|-------------|
| list_drones | List user's drone profiles |
| create_drone | Add a drone profile |
| update_drone | Update a drone profile |
| delete_drone | Remove a drone profile |
Airspace Data
The check_airspace tool queries 11 FAA data layers in a single call:
- UASFM ceiling — maximum altitude grid from the FAA UAS Facility Map
- Class airspace — B, C, D, E2, E3, E4 controlled airspace boundaries
- TFRs — active Temporary Flight Restrictions (refreshed every 15 minutes)
- NOTAMs — Notices to Air Missions with proximity filtering
- Special Use Airspace — prohibited areas, restricted areas, MOAs, alert areas
- NSUFRs — National Security UAS Flight Restrictions
- Stadiums — stadium TFR zones within 3nm
- FRIAs — FAA-Recognized Identification Areas for recreational flyers
- Airports — nearby airports with distance and type
- Mode C veil — 30nm transponder requirement zones around major airports
- Military training routes — low-altitude military flight corridors
All data is sourced from FAA ArcGIS services and refreshed automatically.
Example Prompts
- "Can I fly a drone at the Golden Gate Bridge?"
- "Plan a grid survey of this 10-acre field at 200ft with my DJI Mavic 3"
- "Give me a pre-flight briefing for my construction survey mission"
- "Export all my missions tagged 'client-project' to KML"
- "What airports are within 5nm of 37.7749, -122.4194?"
- "Validate a flight at 300ft at the Statue of Liberty at 2pm tomorrow"
npm
npm install @dronelytics/mcp
https://www.npmjs.com/package/@dronelytics/mcp
License
MIT
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
