# SignalK MCP Server

> Use this tool when you need to efficiently process and filter large amounts of SignalK marine data, reducing token usage by 90-96%. It enables client-side filtering and processing through JavaScript code execution in V8 isolates, providing a lightweight interface for AI agents to access relevant data. Ideal for use cases requiring real-time marine data analysis and processing with minimal overhead.

Canonical page: https://skillsregistry.net/skills/vesselsense-signalk-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/vesselsense-signalk-mcp-server

## Description

Enables AI agents to access SignalK marine data with 90-96% token reduction by executing JavaScript code in V8 isolates for client-side filtering and processing.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jlcr48oou0)
- **Repository:** <https://github.com/VesselSense/signalk-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vesselsense-signalk-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vesselsense-signalk-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vesselsense-signalk-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt