SignalK MCP Server

A Model Context Protocol (MCP) server that provides AI agents with efficient access to SignalK marine data using code execution in V8 isolates. This approach reduces token usage by 90-96% compared to traditional MCP tools.

🚀 Version 1.0.6: Now using code execution engine for massive token savings! See CHANGELOG.md for details.

Why Code Execution?

Traditional MCP tools return ALL data to the AI, consuming massive amounts of tokens. This server uses V8 isolates (like Cloudflare Workers) to let AI agents run JavaScript code that filters data before returning it.

Token Savings:

• Vessel state queries: 94% reduction (2,000 → 120 tokens)
• AIS target filtering: 95% reduction (10,000 → 500 tokens)
• Multi-call workflows: 97% reduction (13,000 → 300 tokens)

Quick Start

Installation

# Via npx (recommended)
npx signalk-mcp-server

# Or install globally
npm install -g signalk-mcp-server

Claude Desktop Configuration

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "signalk": {
      "command": "npx",
      "args": ["signalk-mcp-server"],
      "env": {
        "SIGNALK_HOST": "localhost",
        "SIGNALK_PORT": "3000",
        "SIGNALK_TLS": "false"
      }
    }
  }
}

Basic Usage

AI Agent Query: "What's my vessel's position and the 3 closest AIS targets?"

Code Execution (Automatic):

(async () => {
  // Get vessel position
  const vessel = await getVesselState();
  const position = vessel.data["navigation.position"]?.value;

  // Get AIS targets and filter in isolate
  const ais = await getAisTargets({ pageSize: 50 });
  const closest = ais.targets.slice(0, 3);

  return JSON.stringify({ position, closest });
})()
// Returns: ~300 tokens (97% savings vs legacy tools!)

Features

Code Execution Engine

• V8 Isolate Sandbox: Secure JavaScript execution
• Client-side Filtering: Process data before returning to AI
• Multiple API Calls: Combine operations in one execution
• 90-96% Token Savings: Massive reduction in context window usage
• Sub-100ms Overhead: Fast execution with memory/timeout limits

Available SDK Functions

When using execute_code, these functions are available. IMPORTANT: ALL functions are async and MUST be awaited:

// Vessel data
const vessel = await getVesselState();

// AIS targets (with pagination and optional distance filter)
const ais = await getAisTargets({ page: 1, pageSize: 50, maxDistance: 5000 });

// System alarms
const alarms = await getActiveAlarms();

// Discover available data paths
const paths = await listAvailablePaths();

// Get specific path value (both string and object syntax work)
const speed = await getPathValue("navigation.speedOverGround");
const heading = await getPathValue({ path: "navigation.headingTrue" });

// Connection status - ALSO requires await!
const status = await getConnectionStatus();

Real-time Marine Data

• Vessel position, heading, speed, wind
• AIS target tracking with distance calculations
• System notifications and alarms
• Dynamic SignalK path discovery
• Connection health monitoring

Configuration

Environment Variables

# SignalK Connection (Required)
SIGNALK_HOST=localhost          # SignalK server hostname/IP
SIGNALK_PORT=3000              # SignalK server port
SIGNALK_TLS=false              # Use WSS/HTTPS (true/false)

# Execution Mode (Optional)
EXECUTION_MODE=code            # code (default) | tools (legacy) | hybrid

# Optional Settings
SERVER_NAME=signalk-mcp-server
SERVER_VERSION=1.0.6

Execution Modes

Examples

Example 1: Filtered Vessel Data

Query: "Get my vessel name and position"

Code:

(async () => {
  const vessel = await getVesselState();
  return JSON.stringify({
    name: vessel.data.name?.value,
    position: vessel.data["navigation.position"]?.value
  });
})()

Result: ~200 tokens (vs 2,000 with legacy tools)

Example 2: Nearby Vessels

Query: "Show vessels within 1 nautical mile"

Code:

(async () => {
  const ais = await getAisTargets({ pageSize: 50 });

  // Filter in isolate - huge savings!
  const nearby = ais.targets.filter(t =>
    t.distanceMeters && t.distanceMeters < 1852
  );

  return JSON.stringify({
    total: ais.count,
    nearby: nearby.length,
    vessels: nearby.slice(0, 5)
  });
})()

Result: ~300 tokens (vs 10,000 with legacy tools)

Example 3: Critical Alarms Only

Query: "Any critical alarms?"

Code:

(async () => {
  const alarms = await getActiveAlarms();

  const critical = alarms.alarms.filter(a =>
    a.state === "alarm" || a.state === "emergency"
  );

  return JSON.stringify({
    hasCritical: critical.length > 0,
    count: critical.length,
    details: critical
  });
})()

Result: ~100 tokens (vs 1,000 with legacy tools)

Example 4: Multi-Call Workflow

Query: "Give me a situation report"

Code:

(async () => {
  // All calls in ONE execution!
  const vessel = await getVesselState();
  const ais = await getAisTargets({ pageSize: 50 });
  const alarms = await getActiveAlarms();

  // Process everything in isolate
  const closeVessels = ais.targets.filter(t =>
    t.distanceMeters && t.distanceMeters < 1852
  ).length;

  const criticalAlarms = alarms.alarms.filter(a =>
    a.state === "alarm" || a.state === "emergency"
  ).length;

  return JSON.stringify({
    position: vessel.data["navigation.position"]?.value,
    speed: vessel.data["navigation.speedOverGround"]?.value,
    vesselsNearby: closeVessels,
    criticalAlarms: criticalAlarms
  });
})()

Result: ~300 tokens (vs 13,000 with 3 separate tool calls!)

Development

Prerequisites

• Node.js 18.0.0 or higher
• Access to a SignalK server

Setup

# Clone repository
git clone <repository-url>
cd signalk-mcp-server

# Install dependencies
npm install

# Build
npm run build

# Run tests
npm run test:unit

# Run in development mode
npm run dev

Testing

# Unit tests (fast)
npm run test:unit

# Integration tests (requires live SignalK server)
npm run test:e2e

# Full CI pipeline
npm run ci

Architecture

Code Execution Flow

AI Agent
  ↓
execute_code tool
  ↓
V8 Isolate Sandbox (isolated-vm)
  ↓
SignalK SDK Functions (all async, must await)
  ↓
SignalK Binding Layer (RPC-style)
  ↓
SignalK Client (HTTP REST API)
  ↓
SignalK Server

Note: HTTP-only mode ensures fresh data on every request. WebSocket code is preserved for future streaming support.

Key Components

• Isolate Sandbox (src/execution-engine/isolate-sandbox.ts): Secure V8 isolate execution
• SignalK Binding (src/bindings/signalk-binding.ts): RPC-style method invocation
• SDK Generator (src/sdk/generator.ts): Auto-generates SDK from tool definitions
• SignalK Client (src/signalk-client.ts): HTTP/WebSocket client for SignalK

Security

• Complete Isolation: No access to Node.js globals
• Memory Limits: 128MB per execution
• Timeout Protection: 30s maximum execution time
• No Credential Exposure: SignalK auth handled by binding layer
• Read-Only: No write operations to SignalK server

Migration from 1.x

Breaking Changes

Version 1.0.6 changes the default mode from hybrid to code. Legacy tools are no longer available by default.

Backward Compatibility

To use legacy tools, set the execution mode:

{
  "mcpServers": {
    "signalk": {
      "env": {
        "EXECUTION_MODE": "tools"
      }
    }
  }
}

Migration Guide

See TOOL-MIGRATION-GUIDE.md for complete migration examples.

Before (Legacy):

Tool: get_vessel_state
Returns: All vessel data (~2000 tokens)

After (Code):

(async () => {
  const vessel = await getVesselState();
  return JSON.stringify({
    name: vessel.data.name?.value,
    position: vessel.data["navigation.position"]?.value
  });
})()
// Returns: ~200 tokens

Troubleshooting

Connection Issues

Check connection status (note: await is required):

(async () => {
  const status = await getConnectionStatus();  // await is required!
  return JSON.stringify(status);
})()

Legacy Mode

If you need legacy tools temporarily:

EXECUTION_MODE=tools npx signalk-mcp-server

Debug Mode

Enable verbose logging:

DEBUG=true
LOG_LEVEL=debug

Contributing

Contributions welcome! Please see CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE for details.

Resources

• SignalK Documentation
• Model Context Protocol
• CHANGELOG.md - Version history and migration guide
• TOOL-MIGRATION-GUIDE.md - Detailed migration examples
• Claude Desktop MCP Docs

Credits

Built with:

• isolated-vm - V8 isolate execution
• @modelcontextprotocol/sdk - MCP TypeScript SDK
• SignalK community for the excellent marine data protocol

🚢 Happy sailing with AI-powered marine data!