kip-mcp-server

kip-mcp-server

An MCP server that lets an AI assistant look at your boat's Signal K data and help you design and install KIP dashboards.

Category
Visit Server

README

kip-mcp-server

An MCP server that lets an AI assistant (such as Claude, Codex, or Gemini) look at your boat's Signal K data and help you design and install KIP dashboards — the gauges and panels you see on your chartplotter or tablet.

You stay in control: the assistant shows you a picture of each dashboard first, and it only saves anything to your boat after you say yes.

What it does

  • Looks at your boat's data. It finds the values your boat reports through Signal K — speed, wind, depth, batteries, engine, and so on.
  • Suggests dashboards. It proposes a general dashboard plus ones for specific jobs: sailing, motoring, power, anchoring, navigation, and weather.
  • Shows you a preview. You see a simple picture of each dashboard before anything is saved.
  • Installs them — with your OK. It writes the dashboards to your KIP setup, or hands you a file you can import yourself.

Quick start (for boat owners)

You need a Signal K server running on your boat (or on your network), with KIP installed.

  1. Find your Signal K address. It usually looks like http://your-boat:3000. Note the host name (or IP) and port.
  2. Get this server. You don't need to install anything by hand — your AI assistant can run it on demand with npx (which comes with Node.js 24 or newer):
    npx -y kip-mcp-server
    
    The next step wires this command into your assistant. (Prefer to build from source? See Develop below.)
  3. Connect it to your AI assistant. Pick your assistant in docs/clients and follow the short setup there. You tell the assistant your boat's host and port.
  4. Ask it to help. Say something like "Look at my boat's data and suggest some KIP dashboards." Review the previews it shows you.
  5. Say yes. When you're happy, tell it to go ahead. It asks before writing anything. If your Signal K server is older, it gives you a KipConfig.json file to import from KIP's Settings instead.

How to connect it

The server reads a few settings from its environment:

Setting What it is Default
SIGNALK_HOST Your Signal K host name or IP localhost
SIGNALK_PORT Your Signal K port 3000
SIGNALK_TLS Set to true if your server uses https false
SIGNALK_TOKEN A Signal K login token, needed to write dashboards (none)
SIGNALK_USER A Signal K username — used with SIGNALK_PASSWORD instead of a token (none)
SIGNALK_PASSWORD The matching Signal K password (none)
KIP_URL Override where KIP is served, if it's not the default (derived)

Reading your data needs no login. Writing dashboards to the server needs either a token or a username and password; you can always use the file-export option instead, which needs nothing extra.

What the assistant can do

The server gives the assistant a set of tools, grouped by job:

  • Look at the boat — list the data paths, their units, and which plugins are installed.
  • Know KIP's parts — list every KIP widget and how it's configured, plus the colours, icons and units KIP understands.
  • Design dashboards — suggest a set of dashboards, build one for a chosen job, and draw a preview.
  • Check and save — check a dashboard is well-formed, export it to a file, or write it to the boat (asking first).

Glossary

A few terms, in plain words:

  • Signal K — the open system many boats use to share data (speed, wind, depth, …) over the network.
  • path — the name of one piece of data, like navigation.speedOverGround (speed over ground).
  • KIP — the app that shows your boat's data as dashboards of gauges and panels.
  • widget — one gauge or panel on a dashboard (a number, a dial, a wind display, …).
  • dashboard — a screen full of widgets, laid out on a grid.
  • token — like a password for software: it lets the server save changes to your boat.
  • dry run — the assistant tells you what it would do, without actually doing it. Saving is a dry run by default.

Develop

This project uses Node.js 24 (LTS). Common commands:

npm install        # install dependencies
npm run typecheck  # check types
npm run lint       # check code style
npm test           # run the tests
npm run build      # compile to dist/
npm run smoke      # start the built server and check it answers
npm run ci         # run the full set of checks

Commits follow Conventional Commits; releases and version numbers are produced automatically from those commit messages.

License

MIT — see LICENSE.

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