# @globalfishingwatch/gfw-mcp-js

> Use this tool when you need to access and analyze Global Fishing Watch data, such as searching vessels, retrieving fishing activity, and computing aggregate statistics. It solves problems related to maritime monitoring and research by providing a programmatic interface to retrieve specific data points, including vessel information and marine region details. It accepts search queries and parameters as input and returns relevant data as output, making it ideal for use cases that require automated data retrieval and analysis in AI-powered applications.

Canonical page: https://skillsregistry.net/skills/globalfishingwatch-gfw-mcp-js  
JSON: https://api.skillsregistry.net/v1/skills/globalfishingwatch-gfw-mcp-js

## Description

Access Global Fishing Watch data from any MCP-compatible AI assistant or terminal: search vessels, retrieve fishing activity and port events, look up marine regions, and compute aggregate statistics.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d2hi1br3ue)
- **Repository:** <https://github.com/GlobalFishingWatch/gfw-mcp-js>

## 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": "globalfishingwatch-gfw-mcp-js"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/globalfishingwatch-gfw-mcp-js` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/globalfishingwatch-gfw-mcp-js/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