ADOS MCP

ADOS MCP

Enables AI clients to read live drone status, telemetry, and parameters, and to control drone operations with scoped permissions, confirmation steps, and audit trails.

Category
Visit Server

README

ADOS MCP

A Model Context Protocol server for the ADOS drone platform. Read and control a drone or a whole fleet from your AI client, with a scope on every connection, a confirmation on anything that moves an aircraft, and an audit trail on every call.

License: MIT TypeScript MCP PRs Welcome

Part of the ADOS ecosystem. Pairs with the ADOS Drone Agent, ADOS Mission Control, and ADOS Extensions.

<p align="center"> <a href="https://docs.altnautica.com">Docs</a> · <a href="https://github.com/altnautica/ADOS-MCP/issues">Issues</a> · <a href="https://modelcontextprotocol.io">Model Context Protocol</a> </p>

What it is

ADOS MCP lets any MCP-capable AI client, Claude Code first-class, plus Claude Desktop, Cursor, VS Code, or a plain HTTP client, connect to an ADOS drone or ground station and:

  • Read live status, telemetry, and health for a node or a fleet.
  • Read every flight-controller parameter with full meaning and get tuning recommendations.
  • Administer the platform: rename a node, update the software, install and configure plugins, restart a service, manage pairing and network settings.
  • Query logs and a full audit trail.
  • Fly, when the operator explicitly grants it: arm, change mode, go to a point, run a mission, land, return home, or stop.

The drone is the server; the AI is the client. No model runs on the drone. The server is a thin layer over interfaces that already exist, so behavior is defined once and stays consistent whether it is reached from the console, the command line, or an AI client.

Visibility is broad; action is gated. Reading is open within the granted scope. Writing is controlled by that scope, a safety class per action, a confirmation step for anything that moves an aircraft or changes state, and an operator-present check for flight. Every call, allowed or denied, is recorded.

Two ways to run it

You run the server yourself, on your own machine, in one of two modes:

Mode Command Reaches
Fleet-mode --target fleet --gcs prod your Mission Control fleet (its cloud-connected drones)
Agent-mode --target agent <host> one drone directly on the LAN

Both expose the identical tools; only the reach differs.

  • Fleet-mode is the primary pathway. The server connects to a Mission Control (GCS) backend — your own local one (--gcs local) or the production one (--gcs prod) — as you, the operator, and reaches the drones that Mission Control manages. It is the AI-native interface to your fleet. (Reach limit: Mission Control tracks cloud-connected drones; a drone that is only on your LAN is reached in agent-mode.)
  • Agent-mode is the local-first direct pathway. The server points straight at one drone's agent on the LAN — no cloud round-trip — the shape a bench or field setup uses.

Quick start (Claude Code)

Sign in and mint one scoped machine credential in the Mission Control MCP tab, then run the server on your machine:

# Your whole fleet, through Mission Control (production backend):
export ADOS_MCP_TOKEN="paste-the-machine-credential-from-the-tab"
claude mcp add ados -- npx -y @altnautica/ados-mcp --target fleet --gcs prod

# One drone, directly on the LAN:
claude mcp add ados-lan -- npx -y @altnautica/ados-mcp --target agent <host>

The credential is scoped and revocable, and stored on the backend only as a hash. Revoke it in the tab to cut a server off instantly.

Then ask your client for fleet status. See docs/ for the full connect recipes and the tool catalog.

Transports

  • Streamable HTTP (POST /mcp, single endpoint, SSE upgrade for streams), the primary networked transport.
  • stdio, the local one-liner for Claude Code and Desktop.
  • Unix socket (/run/ados/mcp.sock), on-box in agent-mode, where local presence is the credential.

Safety model

  • A token carries scopes (read, safe_write, admin, flight, destructive, secret_read). Flight and destructive are off by default.
  • Every write is checked against the token scope, a per-tool safety class, and, for flight or destructive actions, a typed confirmation and an operator-present signal.
  • Annotations (readOnlyHint, destructiveHint) are advertised honestly but are hints, never the enforcement point. The server enforces.
  • Every call produces one redacted audit event.

Develop

pnpm install
pnpm typecheck
pnpm lint
pnpm test
pnpm build

The connector is a thin shim, so it holds no telemetry buffers and runs no inference. It calls the platform's existing interfaces and presents them through MCP.

Contributing

Issues and pull requests are welcome. The repository is developed in the open under the MIT license. Please keep contributions technical and free of any private or third-party content.

License

MIT. See LICENSE. Built for civilian use.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured