Dronelytics MCP

by markpdxt

MCP server for querying US drone airspace, planning missions, managing drone profiles, and exporting flight plans.

Aerospace & Astrodynamics
3stars
No ratings
UpdatedAug 11, 2026

InstallRepository Website

Install Dronelytics MCP

Pick your client, then add it in one click or paste the config.

STDIONode.js

~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "markpdxt-dronelytics-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "config"
      ],
      "env": {
        "DRONELYTICS_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Values are written into the snippet above so you can paste it as is. They never leave your browser.

We couldn’t confirm it starts correctly

The install command didn't complete successfully in our automated test.

npx -y config

npm ERR! could not determine executable to run npm ERR! A complete log of this run can be found in: /home/user/.npm/_logs/2026-09-17T23_01_34_211Z-debug-0.log

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.

Overview

This server connects AI assistants to the Dronelytics drone mission planning platform. It queries FAA airspace data, checks Part 107 flight conditions, generates survey missions, manages saved missions and drone profiles, and exports flight plans. Use it for US drone preflight checks, survey planning, and mission file conversion.

Use cases

Check FAA airspace restrictions near a flight location
Validate a planned flight against Part 107 conditions
Generate grid, orbit, panorama, spiral, or corridor missions
Create and manage drone profiles and saved missions
Export missions to KML, GPX, QGC, Litchi CSV, or WPML

Key features

Queries 11 FAA airspace data layers
Lists active TFRs and NOTAMs
Checks live ADS-B traffic near a location
Generates preflight GO, CAUTION, or NO-GO briefings
Creates and manages survey mission waypoints
Imports and exports common drone mission formats

Tools25

What Dronelytics MCP lets your agent do. Expand a tool for its parameters.

Self-reported~299 tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

20/23 checks healthy over the last 86d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev · config (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars3Stargazers on the source repository.

Last commit6mo agoMost recent push to the default branch.

Install checkInconclusiveInstall command did not finish in our automated test.

Tools exposed25Callable tools this server registers over MCP.

Directory activity4 viewsConfig copies, upvotes, and views on AllMCPs.

From the project README

@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):

config.json

{
  "mcpServers": {
    "dronelytics": {
      "command": "npx",
      "args": ["-y", "@dronelytics/mcp"],
      "env": {
        "DRONELYTICS_API_KEY": "dk_your_key_here"
      }
    }
  }
}

Claude Code (.mcp.json in your project or ~/.claude/.mcp.json globally):

config.json

{
  "mcpServers": {
    "dronelytics": {
      "command": "npx",
      "args": ["-y", "@dronelytics/mcp"],
      "env": {
        "DRONELYTICS_API_KEY": "dk_your_key_here"
      }
    }
  }
}

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

Terminal

npm install @dronelytics/mcp

https://www.npmjs.com/package/@dronelytics/mcp

License

MIT

Read the full README View source on GitHub

Reviews

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Frequently Asked Questions about Dronelytics MCP

It queries 11 FAA layers, including UAS Facility Maps, controlled airspace, TFRs, NOTAMs, special use airspace, NSUFRs, stadiums, FRIAs, airports, Mode C veils, and military training routes.

Yes. Set DRONELYTICS_API_KEY to an API key generated in Dronelytics Settings > API Keys.

It can export missions to KML, GPX, QGC, Litchi CSV, and WPML.

Yes. It supports grid, orbit, panorama, spiral, and corridor mission generation.

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At a glance

Category: Aerospace & Astrodynamics
Transport: STDIO
Runtime: Node.js
Auth: API key
Pricing: Bring your own API key (usage-based cost)
License: MIT
Clients: Claude Desktop, Cursor, Windsurf
Last updated: Aug 11, 2026

GitHub stars3

Last commit6mo ago

55Quality signal: Good · 55/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools29/30

Adoption & activity1/15

Community engagement1/10

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