# GW MCP Server

> Use this tool when you need to query gravitational wave data using natural language, as it provides an interface to retrieve information from GraceDB and GWOSC, solving problems related to GW event analysis and research. It accepts natural language queries as input and outputs relevant data and insights about gravitational wave events. Ideal for astrophysicists and researchers seeking to quickly extract specific information from large gravitational wave datasets.

Canonical page: https://skillsregistry.net/skills/adamzacharia-gw-mcp  
JSON: https://api.skillsregistry.net/v1/skills/adamzacharia-gw-mcp

## Description

An MCP server providing tools to query gravitational wave data from GraceDB and GWOSC, enabling natural language queries about GW events.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z7dox0fk2x)
- **Repository:** <https://github.com/adamzacharia/GW_MCP>

## 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": "adamzacharia-gw-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adamzacharia-gw-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adamzacharia-gw-mcp/pull`

---
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